Skip to yearly menu bar Skip to main content


(2669 events)   Timezone:  
Toggle Poster Visibility
Session
AcceptedPapersParent
Registration Desk
Sun Jul 17 07:00 AM -- 04:00 PM (PDT) @ Pratt St. Lobby None
Registration Check-in Desk
Expo Demonstration
Sun Jul 17 09:00 AM -- 02:00 PM (PDT) @ Room 310 None
TorchRL: the PyTorch RL Domain library
Chloe Rolland
Expo Demonstration
Sun Jul 17 09:00 AM -- 02:00 PM (PDT) @ Room 310 None
AEPsych: active learning for human perception and preferences
Chloe Rolland
Expo Talk Panel
Sun Jul 17 09:00 AM -- 12:00 PM (PDT) @ Room 309 None
Enabling Hand Gesture Customization on Wrist-Worn Devices
Gierad Laput · Kai Killian
Expo Talk Panel
Sun Jul 17 09:00 AM -- 01:45 PM (PDT) @ Ballroom 3 None
Challenges Of Applying Graph Neural Networks
Bryan Perozzi · Vahab Mirrokni
Expo Workshop
Sun Jul 17 09:00 AM -- 11:50 AM (PDT) @ Room 301
Real World RL with Vowpal Wabbit and Azure Personalizer
Alexey Taymanov
Expo Talk Panel
Sun Jul 17 09:30 AM -- 10:15 AM (PDT) @ Ballroom 1 None
Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer
Dimitris Polychronopoulos · Anna Gogleva
[ Slides] 
Expo Demonstration
Sun Jul 17 10:20 AM -- 11:20 AM (PDT) @ Ballroom 1 None
Creating a scalable, reproducible, and reliable environment for model development with AstraZeneca and W&B.
Karan Nisar · Andrew Truong · Kyle Woestmann
Expo Demonstration
Sun Jul 17 11:00 AM -- 12:00 PM (PDT) @ Room 309 None
Enabling Hand Gesture Customization on Wrist-Worn Devices
Gierad Laput · Rebecca Adaimi
Cancelled
Sun Jul 17 11:00 AM -- 11:45 AM (PDT) @ Room 307 None
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
Lauren Contreras
Coffee Break
Sun Jul 17 11:30 AM -- 12:00 PM (PDT) @ Hall B & Main Terrace
Coffee Break
Expo Talk Panel
Sun Jul 17 11:30 AM -- 01:00 PM (PDT) @ Ballroom 1 None
Machine learning for drug discovery: Challenges and opportunities
Mihaela van der Schaar · Jian Tang · A Martin Jones · Sébastien Lemieux · Thomas Watson
Expo Demonstration
Sun Jul 17 12:15 PM -- 01:00 PM (PDT) @ Room 307
Robust and Fast Detection of Toxic Speech Content via Machine Learning
Lauren Contreras
Expo Talk Panel
Sun Jul 17 01:15 PM -- 02:00 PM (PDT) @ Ballroom 1 None
Towards Robust Waveform-Based Acoustic Models
Dino Oglic
Opening Reception - Catered
Sun Jul 17 02:30 PM -- 04:00 PM (PDT) @ Charles Street Lobby and Hall B
Opening Reception
Affinity Workshop
Mon Jul 18 05:00 AM -- 05:00 PM (PDT) @ Ballroom 3 & 4 None
LatinX in AI (LXAI) LXAI Research Workshop
Maria Luisa Santiago · Juan Miguel Gutierrez Vidal · Fanny Nina Paravecino · CJ Barberan · Julio Hurtado · Andres Marquez · Jose M. Saavedra · Javier A Orduz · Wayner Barrios · Ramesh Doddaiah
Affinity Workshop
Mon Jul 18 05:30 AM -- 03:40 PM (PDT) @ Hall G None
Women in Machine Learning (WiML) Un-Workshop
Vinitra Swamy · Paula Gradu · Mojgan Saeidi · Noor Sajid · Shweta Khushu · Giulia Clerici · Tatjana Chavdarova
[thumb]
Affinity Workshop
Mon Jul 18 06:00 AM -- 01:30 PM (PDT) @ Room 301 - 303 None
New In Machine Learning (NewInML)
Alice Lacan · Mélina Verger
Tutorial
Mon Jul 18 06:30 AM -- 08:30 AM (PDT) @ Hall F None
Causality and Deep Learning: Synergies, Challenges and the Future
Nan Rosemary Ke · Stefan Bauer
Tutorial
Mon Jul 18 06:30 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2 None
Quantitative Reasoning About Data Privacy in Machine Learning
Chuan Guo · Reza Shokri
Tutorial
Mon Jul 18 06:30 AM -- 08:45 AM (PDT) @ Room 307 None
Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning
Stefan Riezler · Michael Hagmann
Coffee Break
Mon Jul 18 07:00 AM -- 07:30 AM (PDT)
Coffee Break
Lunch Break
Mon Jul 18 09:00 AM -- 10:30 AM (PDT)
Lunch Break - on your own
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2 None
Bridging Learning and Decision Making
Dylan Foster · Alexander Rakhlin
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Hall F None
Learning for Interactive Agents
Dorsa Sadigh · Anca Dragan
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Room 307 None
Climate Change and Machine Learning: Opportunities, Challenges, and Considerations
Priya Donti · David Rolnick · Lynn Kaack
Coffee Break
Mon Jul 18 12:00 PM -- 12:30 PM (PDT)
Coffee Break
Tutorial
Mon Jul 18 12:30 PM -- 02:30 PM (PDT) @ Room 307 None
Causal Fairness Analysis
Elias Bareinboim · Drago Plecko
Tutorial
Mon Jul 18 12:30 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2 None
Sampling as First-Order Optimization over a space of probability measures
Anna Korba · Adil Salim
Tutorial
Mon Jul 18 12:30 PM -- 02:50 PM (PDT) @ Hall F None
Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models
Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica
Break
Tue Jul 19 03:30 AM -- 03:45 AM (PDT) None
Breakfast on your own
Remarks
Tue Jul 19 05:45 AM -- 06:00 AM (PDT) @ Hall F None
Welcome by Chairs
Invited Talk
Tue Jul 19 06:00 AM -- 07:00 AM (PDT) @ Hall F None
Towards a Mathematical Theory of Machine Learning
Weinan E
Coffee Break
Tue Jul 19 07:00 AM -- 07:30 AM (PDT)
Coffee Break
Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Ballroom 3 & 4
Tackling covariate shift with node-based Bayesian neural networks
In Probabilistic Methods/Applications
Trung Trinh · Markus Heinonen · Luigi Acerbi · Samuel Kaski
Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Room 309
Online Learning for Min Sum Set Cover and Pandora’s Box
In Theory: Online Learning/Bandits
Evangelia Gergatsouli · Christos Tzamos
Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Room 307
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
In Optimization: Convex
Jisun Park · Ernest Ryu
Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Hall G
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
In Deep Learning: Robustness
Florian Tramer
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2 None
Social Aspects
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4 None
Probabilistic Methods/Applications
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Hall F None
Reinforcement Learning
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Hall G None
Deep Learning: Robustness
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 301 - 303 None
APP: Language, Speech and Dialog
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 307 None
Optimization: Convex
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 309 None
Theory: Online Learning/Bandits
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 318 - 320 None
Transfer/Multitask/Meta Learning
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 327 - 329 None
Deep Learning
Session
Tue Jul 19 07:30 AM -- 09:00 AM (PDT) @ Room 310 None
Deep Learning: Generative Models/Autoencoders
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 301 - 303
Certified Robustness Against Natural Language Attacks by Causal Intervention
In APP: Language, Speech and Dialog
Haiteng Zhao · Chang Ma · Xinshuai Dong · Anh Tuan Luu · Zhi-Hong Deng · Hanwang Zhang
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Hall F
Dynamic Regret of Online Markov Decision Processes
In Reinforcement Learning
Peng Zhao · Long-Fei Li · Zhi-Hua Zhou
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Multi-Task Learning as a Bargaining Game
In Transfer/Multitask/Meta Learning
Aviv Navon · Aviv Shamsian · Idan Achituve · Haggai Maron · Kenji Kawaguchi · Gal Chechik · Ethan Fetaya
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 327 - 329
Structural Entropy Guided Graph Hierarchical Pooling
In Deep Learning
Junran Wu · Xueyuan Chen · Ke Xu · Shangzhe Li
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 310
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
In Deep Learning: Generative Models/Autoencoders
Yuanbang Liang · Jing Wu · Yu-Kun Lai · Yipeng Qin
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Differentially Private Approximate Quantiles
In Social Aspects
Haim Kaplan · Shachar Schnapp · Uri Stemmer
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Hall F
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
In Reinforcement Learning
Robert Loftin · Frans Oliehoek
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 301 - 303
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
In APP: Language, Speech and Dialog
He Bai · Renjie Zheng · Junkun Chen · Mingbo Ma · Xintong Li · Liang Huang
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 310
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
In Deep Learning: Generative Models/Autoencoders
Chenlin Meng · Linqi Zhou · Kristy Choi · Tri Dao · Stefano Ermon
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Frustratingly Easy Transferability Estimation
In Transfer/Multitask/Meta Learning
Long-Kai Huang · Junzhou Huang · Yu Rong · Qiang Yang · Ying WEI
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
In Social Aspects
Xueru Zhang · Mahdi Khalili · Kun Jin · Parinaz Naghizadeh · Mingyan Liu
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 327 - 329
Self-Supervised Representation Learning via Latent Graph Prediction
In Deep Learning
Yaochen Xie · Zhao Xu · Shuiwang Ji
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 310
Controlling Conditional Language Models without Catastrophic Forgetting
In Deep Learning: Generative Models/Autoencoders
Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 327 - 329
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
In Deep Learning
Shiyong Lan · Yitong Ma · Weikang Huang · Wenwu Wang · Hongyu Yang · pyang li
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Robust Models Are More Interpretable Because Attributions Look Normal
In Social Aspects
Zifan Wang · Matt Fredrikson · Anupam Datta
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 301 - 303
On the Learning of Non-Autoregressive Transformers
In APP: Language, Speech and Dialog
Fei Huang · Tianhua Tao · Hao Zhou · Lei Li · Minlie Huang
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Hall F
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
In Reinforcement Learning
Harley Wiltzer · David Meger · Marc Bellemare
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
In Transfer/Multitask/Meta Learning
Tung Nguyen · Aditya Grover
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Difference Standardization Method for Mutual Transfer Learning
In Transfer/Multitask/Meta Learning
Haoqing Xu · Meng Wang · Beilun Wang
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Hall F
Provable Reinforcement Learning with a Short-Term Memory
In Reinforcement Learning
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 301 - 303
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
In APP: Language, Speech and Dialog
Peiyu Yu · Sirui Xie · Xiaojian Ma · Baoxiong Jia · Bo Pang · Ruiqi Gao · Yixin Zhu · Song-Chun Zhu · Ying Nian Wu
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 327 - 329
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
In Deep Learning
Tianlong Chen · Xuxi Chen · Xiaolong Ma · Yanzhi Wang · Zhangyang “Atlas” Wang
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
In Social Aspects
Sooyong Jang · Sangdon Park · Insup Lee · Osbert Bastani
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 310
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
In Deep Learning: Generative Models/Autoencoders
Alexander Nichol · Prafulla Dhariwal · Aditya Ramesh · Pranav Shyam · Pamela Mishkin · Bob McGrew · Ilya Sutskever · Mark Chen
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Hall G
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
In Deep Learning: Robustness
Haoran You · Baopu Li · Shi Huihong · Yonggan Fu · Yingyan Lin
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 307
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
In Optimization: Convex
Aaron Mishkin · Arda Sahiner · Mert Pilanci
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 309
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
In Theory: Online Learning/Bandits
Vidyashankar Sivakumar · Shiliang Zuo · Arindam Banerjee
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
Why the Rich Get Richer? On the Balancedness of Random Partition Models
In Probabilistic Methods/Applications
Changwoo Lee · Huiyan Sang
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
In Transfer/Multitask/Meta Learning
Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
In APP: Language, Speech and Dialog
Aaron Chan · Maziar Sanjabi · Lambert Mathias · Liang Tan · Shaoliang Nie · Xiaochang Peng · Xiang Ren · Hamed Firooz
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Hall F
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
In Reinforcement Learning
Lucas N. Alegre · Ana Lucia Cetertich Bazzan · Bruno C. da Silva
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
In Deep Learning
Ling Yang · Shenda Hong
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 310
Structure-preserving GANs
In Deep Learning: Generative Models/Autoencoders
Jeremiah Birrell · Markos Katsoulakis · Luc Rey-Bellet · Wei Zhu
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
A Joint Exponential Mechanism For Differentially Private Top-$k$
In Social Aspects
Jennifer Gillenwater · Matthew Joseph · andres munoz · Monica Ribero Diaz
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Hall G
Provably Adversarially Robust Nearest Prototype Classifiers
In Deep Learning: Robustness
Václav Voráček · Matthias Hein
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 307
NysADMM: faster composite convex optimization via low-rank approximation
In Optimization: Convex
Shipu Zhao · Zachary Frangella · Madeleine Udell
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 309
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
In Theory: Online Learning/Bandits
Fang Kong · Yichi Zhou · Shuai Li
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
In Probabilistic Methods/Applications
Chau Tran · Guo Yu
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Hall F
Mirror Learning: A Unifying Framework of Policy Optimisation
In Reinforcement Learning
Jakub Grudzien Kuba · Christian Schroeder de Witt · Jakob Foerster
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
In Transfer/Multitask/Meta Learning
Michinari Momma · Chaosheng Dong · Jia Liu
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 310
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
In Deep Learning: Generative Models/Autoencoders
Samyam Rajbhandari · Conglong Li · Zhewei Yao · Minjia Zhang · Reza Yazdani Aminabadi · Ammar Ahmad Awan · Jeff Rasley · Yuxiong He
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Black-Box Tuning for Language-Model-as-a-Service
In APP: Language, Speech and Dialog
Tianxiang Sun · Yunfan Shao · Hong Qian · Xuanjing Huang · Xipeng Qiu
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
Transfer Learning In Differential Privacy's Hybrid-Model
In Social Aspects
Refael Kohen · Or Sheffet
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Analyzing and Mitigating Interference in Neural Architecture Search
In Deep Learning
Jin Xu · Xu Tan · Kaitao Song · Renqian Luo · Yichong Leng · Tao Qin · Tie-Yan Liu · Jian Li
Oral
Tue Jul 19 08:00 AM -- 08:20 AM (PDT) @ Room 301 - 303 None
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
In APP: Language, Speech and Dialog
Kawin Ethayarajh · Yejin Choi · Swabha Swayamdipta
Oral
Tue Jul 19 08:00 AM -- 08:20 AM (PDT) @ Hall F
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
In Reinforcement Learning
Liyu Chen · Rahul Jain · Haipeng Luo
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 309
Thompson Sampling for (Combinatorial) Pure Exploration
In Theory: Online Learning/Bandits
Siwei Wang · Jun Zhu
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Hall G
Certifying Out-of-Domain Generalization for Blackbox Functions
In Deep Learning: Robustness
Maurice Weber · Linyi Li · Boxin Wang · Zhikuan Zhao · Bo Li · Ce Zhang
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 307
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
In Optimization: Convex
Anis Elgabli · Chaouki Ben Issaid · Amrit Singh Bedi · Ketan Rajawat · Mehdi Bennis · Vaneet Aggarwal
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
In Probabilistic Methods/Applications
Lukas Köhs · Bastian Alt · Heinz Koeppl
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 318 - 320
Sparse Invariant Risk Minimization
In Transfer/Multitask/Meta Learning
Xiao Zhou · Yong LIN · Weizhong Zhang · Tong Zhang
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 327 - 329
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
In Deep Learning
Darshan Thaker · Paris Giampouras · Rene Vidal
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 1 & 2
Robust Kernel Density Estimation with Median-of-Means principle
In Social Aspects
Pierre Humbert · Batiste Le Bars · Ludovic Minvielle
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 310
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
In Deep Learning: Generative Models/Autoencoders
Fan Bao · Chongxuan Li · Jiacheng Sun · Jun Zhu · Bo Zhang
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 327 - 329
Unified Scaling Laws for Routed Language Models
In Deep Learning
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 318 - 320
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
In Transfer/Multitask/Meta Learning
Utku Evci · Vincent Dumoulin · Hugo Larochelle · Michael Mozer
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 310
Equivariant Diffusion for Molecule Generation in 3D
In Deep Learning: Generative Models/Autoencoders
Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Ballroom 1 & 2
Bounding Training Data Reconstruction in Private (Deep) Learning
In Social Aspects
Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Ballroom 3 & 4
Calibrated Learning to Defer with One-vs-All Classifiers
In Probabilistic Methods/Applications
Rajeev Verma · Eric Nalisnick
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Room 307
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
In Optimization: Convex
Arda Sahiner · Tolga Ergen · Batu M Ozturkler · John Pauly · Morteza Mardani · Mert Pilanci
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Hall G
Intriguing Properties of Input-Dependent Randomized Smoothing
In Deep Learning: Robustness
Peter Súkeník · Aleksei Kuvshinov · Stephan Günnemann
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Room 309
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
In Theory: Online Learning/Bandits
Shinji Ito
Oral
Tue Jul 19 08:10 AM -- 08:30 AM (PDT) @ Hall G
To Smooth or Not? When Label Smoothing Meets Noisy Labels
In Deep Learning: Robustness
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu
Oral
Tue Jul 19 08:10 AM -- 08:30 AM (PDT) @ Ballroom 3 & 4
Tractable Uncertainty for Structure Learning
In Probabilistic Methods/Applications
Benjie Wang · Matthew Wicker · Marta Kwiatkowska
Spotlight
Tue Jul 19 08:10 AM -- 08:15 AM (PDT) @ Room 309 None
Rotting Infinitely Many-Armed Bandits
In Theory: Online Learning/Bandits
Jung-hun Kim · Milan Vojnovic · Se-Young Yun
Spotlight
Tue Jul 19 08:10 AM -- 08:15 AM (PDT) @ Room 307
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
In Optimization: Convex
Kazuma Tsuji · Ken'ichiro Tanaka · Sebastian Pokutta
Oral
Tue Jul 19 08:15 AM -- 08:35 AM (PDT) @ Room 309
Batched Dueling Bandits
In Theory: Online Learning/Bandits
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Oral
Tue Jul 19 08:15 AM -- 08:35 AM (PDT) @ Room 307
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
In Optimization: Convex
Jaewook Suh · Gyumin Roh · Ernest Ryu
Spotlight
Tue Jul 19 08:20 AM -- 08:25 AM (PDT) @ Hall F
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
In Reinforcement Learning
Liyu Chen · Rahul Jain · Haipeng Luo
Spotlight
Tue Jul 19 08:20 AM -- 08:25 AM (PDT) @ Room 301 - 303
Co-training Improves Prompt-based Learning for Large Language Models
In APP: Language, Speech and Dialog
Hunter Lang · Monica Agrawal · Yoon Kim · David Sontag
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Hall F
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
In Reinforcement Learning
Archit Sharma · Rehaan Ahmad · Chelsea Finn
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 301 - 303
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
In APP: Language, Speech and Dialog
Fei Huang · Hao Zhou · Yang Liu · Hang Li · Minlie Huang
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
A Closer Look at Smoothness in Domain Adversarial Training
In Transfer/Multitask/Meta Learning
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Arihant Jain · Venkatesh Babu Radhakrishnan
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 310
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
In Deep Learning: Generative Models/Autoencoders
Zhichun Huang · Rudrasis Chakraborty · Vikas Singh
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 327 - 329
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
In Deep Learning
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
In Social Aspects
Lukas Struppek · Dominik Hintersdorf · Antonio De Almeida Correia · Antonia Adler · Kristian Kersting
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
DNA: Domain Generalization with Diversified Neural Averaging
In Probabilistic Methods/Applications
Xu Chu · Yujie Jin · Wenwu Zhu · Yasha Wang · Xin Wang · Shanghang Zhang · Hong Mei
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Hall G
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
In Deep Learning: Robustness
Francesco Croce · Sven Gowal · Thomas Brunner · Evan Shelhamer · Matthias Hein · Taylan Cemgil
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
In Transfer/Multitask/Meta Learning
Jogendra Nath Kundu · Akshay Kulkarni · Suvaansh Bhambri · Deepesh Mehta · Shreyas Kulkarni · Varun Jampani · Venkatesh Babu Radhakrishnan
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 327 - 329
A deep convolutional neural network that is invariant to time rescaling
In Deep Learning
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 301 - 303
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
In APP: Language, Speech and Dialog
Adam Liska · Tomas Kocisky · Elena Gribovskaya · Tayfun Terzi · Eren Sezener · Devang Agrawal · Cyprien de Masson d'Autume · Tim Scholtes · Manzil Zaheer · Susannah Young · Ellen Gilsenan-McMahon · Sophia Austin · Phil Blunsom · Angeliki Lazaridou
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Hall F
Langevin Monte Carlo for Contextual Bandits
In Reinforcement Learning
Pan Xu · Hongkai Zheng · Eric Mazumdar · Kamyar Azizzadenesheli · Animashree Anandkumar
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 310
Conditional GANs with Auxiliary Discriminative Classifier
In Deep Learning: Generative Models/Autoencoders
Liang Hou · Qi Cao · Huawei Shen · Siyuan Pan · Xiaoshuang Li · Xueqi Cheng
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
FriendlyCore: Practical Differentially Private Aggregation
In Social Aspects
Eliad Tsfadia · Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 307
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
In Optimization: Convex
LEONARDO CUNHA · Gauthier Gidel · Fabian Pedregosa · Damien Scieur · Courtney Paquette
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Hall G
On the Generalization Analysis of Adversarial Learning
In Deep Learning: Robustness
Waleed Mustafa · Yunwen Lei · Marius Kloft
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 309
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
In Theory: Online Learning/Bandits
Weiming Liu · Huacong Jiang · Bin Li · Houqiang Li
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
In Probabilistic Methods/Applications
Yinshuang Xu · Jiahui Lei · Edgar Dobriban · Kostas Daniilidis
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
In Social Aspects
Sangwon Kim · Jaeyeal Nam · Byoung Chul Ko
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
In Transfer/Multitask/Meta Learning
Xiao Zhou · Yong LIN · Renjie Pi · Weizhong Zhang · Renzhe Xu · Peng Cui · Tong Zhang
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
LyaNet: A Lyapunov Framework for Training Neural ODEs
In Deep Learning
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Hall F
Prompting Decision Transformer for Few-Shot Policy Generalization
In Reinforcement Learning
Mengdi Xu · Yikang Shen · Shun Zhang · Yuchen Lu · Ding Zhao · Josh Tenenbaum · Chuang Gan
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
In APP: Language, Speech and Dialog
Valentin Hofmann · Janet Pierrehumbert · Hinrich Schütze
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 310
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
In Deep Learning: Generative Models/Autoencoders
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
In Probabilistic Methods/Applications
Ziyu Wang · Wenhao Jiang · Yiming Zhu · Li Yuan · Yibing Song · Wei Liu
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 307
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
In Optimization: Convex
Vladimir Kostic · Saverio Salzo · Massimiliano Pontil
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall G
Demystifying the Adversarial Robustness of Random Transformation Defenses
In Deep Learning: Robustness
Chawin Sitawarin · Zachary Golan-Strieb · David Wagner
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 309
Consistent Polyhedral Surrogates for Top-k Classification and Variants
In Theory: Online Learning/Bandits
Anish Thilagar · Rafael Frongillo · Jessie Finocchiaro · Emma Goodwill
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 310
Matching Normalizing Flows and Probability Paths on Manifolds
In Deep Learning: Generative Models/Autoencoders
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
Zero-shot AutoML with Pretrained Models
In Transfer/Multitask/Meta Learning
Ekrem Öztürk · Fabio Ferreira · Hadi S Jomaa · Lars Schmidt-Thieme · Josif Grabocka · Frank Hutter
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
In Deep Learning
Mark Collier · Rodolphe Jenatton · Efi Kokiopoulou · Jesse Berent
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
In Social Aspects
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Generative Cooperative Networks for Natural Language Generation
In APP: Language, Speech and Dialog
Sylvain Lamprier · Thomas Scialom · Antoine Chaffin · Vincent Claveau · Ewa Kijak · Jacopo Staiano · Benjamin Piwowarski
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall F
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
In Reinforcement Learning
Shuang Qiu · Lingxiao Wang · Chenjia Bai · Zhuoran Yang · Zhaoran Wang
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Channel Importance Matters in Few-Shot Image Classification
In Probabilistic Methods/Applications
Xu Luo · Jing Xu · ZENGLIN Xu
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 307
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
In Optimization: Convex
Baojian Zhou · Yifan Sun
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 309
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
In Theory: Online Learning/Bandits
Viktor Bengs · Aadirupa Saha · Eyke Hüllermeier
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall G
Double Sampling Randomized Smoothing
In Deep Learning: Robustness
Linyi Li · Jiawei Zhang · Tao Xie · Bo Li
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall F
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
In Reinforcement Learning
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Public Data-Assisted Mirror Descent for Private Model Training
In Social Aspects
Ehsan Amid · Arun Ganesh · Rajiv Mathews · Swaroop Ramaswamy · Shuang Song · Thomas Steinke · Thomas Steinke · Vinith Suriyakumar · Om Thakkar · Abhradeep Guha Thakurta
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
On Collective Robustness of Bagging Against Data Poisoning
In Deep Learning
Ruoxin Chen · Zenan Li · Jie Li · Junchi Yan · Chentao Wu
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Efficient Variance Reduction for Meta-learning
In Transfer/Multitask/Meta Learning
Hansi Yang · James Kwok
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
In APP: Language, Speech and Dialog
Thomas Wang · Adam Roberts · Daniel Hesslow · Teven Le Scao · Hyung Won Chung · Iz Beltagy · Julien Launay · Colin Raffel
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 310
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
In Deep Learning: Generative Models/Autoencoders
Hanjun Dai · Mengjiao Yang · Yuan Xue · Dale Schuurmans · Bo Dai
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 307
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
In Optimization: Convex
Burak Bartan · Mert Pilanci
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
In Probabilistic Methods/Applications
Alexandre Rame · Corentin Dancette · Matthieu Cord
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 309
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
In Theory: Online Learning/Bandits
Aadirupa Saha · Shubham Gupta
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Hall G
TPC: Transformation-Specific Smoothing for Point Cloud Models
In Deep Learning: Robustness
Wenda Chu · Linyi Li · Bo Li
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
In Transfer/Multitask/Meta Learning
Tiexin QIN · Shiqi Wang · Haoliang Li
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
In Social Aspects
Eunsang Lee · Joon-Woo Lee · Junghyun Lee · Young-Sik KIM · Yongjune Kim · Jong-Seon No · Woosuk Choi
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 310
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
In Deep Learning: Generative Models/Autoencoders
Xiang Gao · Yuqi Zhang · Yingjie Tian
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
Hindering Adversarial Attacks with Implicit Neural Representations
In Deep Learning
Andrei A Rusu · Dan Andrei Calian · Sven Gowal · Raia Hadsell
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
In APP: Language, Speech and Dialog
Yifan Peng · Siddharth Dalmia · Ian Lane · Shinji Watanabe
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 309
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
In Theory: Online Learning/Bandits
Tianyi Lin · Aldo Pacchiano · Yaodong Yu · Michael Jordan
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 307
Active Sampling for Min-Max Fairness
In Optimization: Convex
Jacob Abernethy · Pranjal Awasthi · Matthäus Kleindessner · Jamie Morgenstern · Chris Russell · Jie Zhang
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
In Social Aspects
Georgi Ganev · Bristena Oprisanu · Emiliano De Cristofaro
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 310
Region-Based Semantic Factorization in GANs
In Deep Learning: Generative Models/Autoencoders
Jiapeng Zhu · Yujun Shen · Yinghao Xu · Deli Zhao · Qifeng Chen
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 301 - 303 None
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
In APP: Language, Speech and Dialog
Jiayao Zhang · Hongming ZHANG · Weijie Su · Dan Roth
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Partial disentanglement for domain adaptation
In Transfer/Multitask/Meta Learning
Lingjing Kong · Shaoan Xie · Weiran Yao · Yujia Zheng · Guangyi Chen · Petar Stojanov · Victor Akinwande · Kun Zhang
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
In Deep Learning
HeeSun Bae · Seungjae Shin · Byeonghu Na · JoonHo Jang · Kyungwoo Song · IL CHUL MOON
Lunch
Tue Jul 19 09:00 AM -- 10:30 PM (PDT)
Lunch Break - on your own
Oral
Tue Jul 19 10:30 AM -- 10:50 AM (PDT) @ Room 318 - 320
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
In Optimization
Sixing Yu · Arya Mazaheri · Ali Jannesari
Oral
Tue Jul 19 10:30 AM -- 10:50 AM (PDT) @ Room 309
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
In Reinforcement Learning: Deep/Batch/Offline
Vihang Patil · Markus Hofmarcher · Marius-Constantin Dinu · Matthias Dorfer · Patrick Blies · Johannes Brandstetter · Jose A. Arjona-Medina · Sepp Hochreiter
Oral
Tue Jul 19 10:30 AM -- 10:50 AM (PDT) @ Room 310
Robustness Implies Generalization via Data-Dependent Generalization Bounds
In Theory: Bandits/RL/Everything Else
Kenji Kawaguchi · Zhun Deng · Kyle Luh · Jiaoyang Huang
Oral
Tue Jul 19 10:30 AM -- 10:50 AM (PDT) @ Hall G None
Learning Mixtures of Linear Dynamical Systems
In Theory
Yanxi Chen · H. Vincent Poor
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2 None
DL: Algorithms
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4 None
SA: Accountability, Transparency and Interpretability
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Hall F None
APP: Computer Vision
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Hall G None
Theory
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 301 - 303 None
MISC: Unsupervised and Semi-supervised Learning
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 307 None
PM: Gaussian Processes
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 309 None
Reinforcement Learning: Deep/Batch/Offline
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 318 - 320 None
Optimization
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 327 - 329 None
DL: Graph Neural Networks
Session
Tue Jul 19 10:30 AM -- 12:00 PM (PDT) @ Room 310 None
Theory: Bandits/RL/Everything Else
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 327 - 329
pathGCN: Learning General Graph Spatial Operators from Paths
In DL: Graph Neural Networks
Moshe Eliasof · Eldad Haber · Eran Treister
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Hall F
Robust Group Synchronization via Quadratic Programming
In APP: Computer Vision
Yunpeng Shi · Cole Wyeth · Gilad Lerman
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Online Continual Learning through Mutual Information Maximization
In DL: Algorithms
Yiduo Guo · Bing Liu · Dongyan Zhao
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Ballroom 3 & 4
Meaningfully debugging model mistakes using conceptual counterfactual explanations
In SA: Accountability, Transparency and Interpretability
Abubakar Abid · Mert Yuksekgonul · James Zou
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 301 - 303
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
In MISC: Unsupervised and Semi-supervised Learning
Guillaume Braun · Hemant Tyagi · Christophe Biernacki
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 307
Additive Gaussian Processes Revisited
In PM: Gaussian Processes
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 301 - 303
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
In MISC: Unsupervised and Semi-supervised Learning
Zhengfeng Lai · Chao Wang · Henrry Gunawan · Senching Cheung · Chen-Nee Chuah
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 307
Probabilistic ODE Solutions in Millions of Dimensions
In PM: Gaussian Processes
Nicholas Krämer · Nathanael Bosch · Jonathan Schmidt · Philipp Hennig
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Ballroom 3 & 4
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
In SA: Accountability, Transparency and Interpretability
Jinkun Lin · Anqi Zhang · Mathias Lécuyer · Jinyang Li · Aurojit Panda · Siddhartha Sen
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Hall F
UAST: Uncertainty-Aware Siamese Tracking
In APP: Computer Vision
Dawei Zhang · Yanwei Fu · Zhonglong Zheng
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 327 - 329
Graph-Coupled Oscillator Networks
In DL: Graph Neural Networks
T. Konstantin Rusch · Ben Chamberlain · James Rowbottom · Siddhartha Mishra · Michael Bronstein
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Learning Iterative Reasoning through Energy Minimization
In DL: Algorithms
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 307
Adaptive Gaussian Process Change Point Detection
In PM: Gaussian Processes
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 327 - 329
HousE: Knowledge Graph Embedding with Householder Parameterization
In DL: Graph Neural Networks
Rui Li · Jianan Zhao · Chaozhuo Li · Di He · Yiqi Wang · Yuming Liu · Hao Sun · Senzhang Wang · Weiwei Deng · Yanming Shen · Xing Xie · Qi Zhang
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Ballroom 3 & 4
Robust Counterfactual Explanations for Tree-Based Ensembles
In SA: Accountability, Transparency and Interpretability
Sanghamitra Dutta · Jason Long · Saumitra Mishra · Cecilia Tilli · Daniele Magazzeni
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
In DL: Algorithms
Yonggan Fu · Haichuan Yang · Jiayi Yuan · Meng Li · Cheng Wan · Raghuraman Krishnamoorthi · Vikas Chandra · Yingyan Lin
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 301 - 303
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
In MISC: Unsupervised and Semi-supervised Learning
Lan-Zhe Guo · Yu-Feng Li
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Hall F
You Only Cut Once: Boosting Data Augmentation with a Single Cut
In APP: Computer Vision
Junlin Han · Pengfei Fang · Weihao Li · Jie Hong · Mohammad Ali Armin · Ian Reid · Lars Petersson · HONGDONG LI
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Ballroom 3 & 4
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
In SA: Accountability, Transparency and Interpretability
Daniel Lundstrom · Tianjian Huang · Meisam Razaviyayn
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
PoF: Post-Training of Feature Extractor for Improving Generalization
In DL: Algorithms
Ikuro Sato · Yamada Ryota · Masayuki Tanaka · Nakamasa Inoue · Rei Kawakami
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 307
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
In PM: Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 327 - 329
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
In DL: Graph Neural Networks
Siqi Miao · Mia Liu · Pan Li
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Hall F
Generative Modeling for Multi-task Visual Learning
In APP: Computer Vision
Zhipeng Bao · Martial Hebert · Yu-Xiong Wang
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 309
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
In Reinforcement Learning: Deep/Batch/Offline
Brandon Trabucco · mariano phielipp · Glen Berseth
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Hall G
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
In Theory
Vincent Cohen-Addad · Vahab Mirrokni · Peilin Zhong
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 318 - 320
Stochastic Reweighted Gradient Descent
In Optimization
Ayoub El Hanchi · David Stephens · Chris Maddison
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 310
Learning to Hash Robustly, Guaranteed
In Theory: Bandits/RL/Everything Else
Alexandr Andoni · Daniel Beaglehole
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 307
Fenrir: Physics-Enhanced Regression for Initial Value Problems
In PM: Gaussian Processes
Filip Tronarp · Nathanael Bosch · Philipp Hennig
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Ballroom 1 & 2
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
In DL: Algorithms
Giung Nam · Hyungi Lee · Byeongho Heo · Juho Lee
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Meta-Learning Hypothesis Spaces for Sequential Decision-making
In MISC: Unsupervised and Semi-supervised Learning
Parnian Kassraie · Jonas Rothfuss · Andreas Krause
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Ballroom 3 & 4
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
In SA: Accountability, Transparency and Interpretability
Micah Carroll · Anca Dragan · Stuart Russell · Dylan Hadfield-Menell
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
In DL: Graph Neural Networks
Jun Xia · Lirong Wu · Wang Ge · Jintao Chen · Stan Z. Li
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Hall F
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
In APP: Computer Vision
Andrey Zhmoginov · Mark Sandler · Maksym Vladymyrov
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 318 - 320
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
In Optimization
Qiujiang Jin · Alec Koppel · Ketan Rajawat · Aryan Mokhtari
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 309
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
In Reinforcement Learning: Deep/Batch/Offline
Fei Deng · Ingook Jang · Sungjin Ahn
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Hall G
Residual-Based Sampling for Online Outlier-Robust PCA
In Theory
Tianhao Zhu · Jie Shen
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 310
Policy Gradient Method For Robust Reinforcement Learning
In Theory: Bandits/RL/Everything Else
Yue Wang · Shaofeng Zou
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
In DL: Graph Neural Networks
Mingjie Li · Xiaojun Guo · Yifei Wang · Yisen Wang · Zhouchen Lin
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Ballroom 3 & 4
Framework for Evaluating Faithfulness of Local Explanations
In SA: Accountability, Transparency and Interpretability
Sanjoy Dasgupta · Nave Frost · Michal Moshkovitz
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Ballroom 1 & 2
Set Based Stochastic Subsampling
In DL: Algorithms
Bruno Andreis · Seanie Lee · A. Tuan Nguyen · Juho Lee · Eunho Yang · Sung Ju Hwang
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 307
Variational nearest neighbor Gaussian process
In PM: Gaussian Processes
Luhuan Wu · Geoff Pleiss · John Cunningham
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
A Tighter Analysis of Spectral Clustering, and Beyond
In MISC: Unsupervised and Semi-supervised Learning
Peter Macgregor · He Sun
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Hall F
Parametric Visual Program Induction with Function Modularization
In APP: Computer Vision
Xuguang Duan · Xin Wang · Ziwei Zhang · Wenwu Zhu
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Room 307
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
In PM: Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Ballroom 1 & 2 None
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
In DL: Algorithms
Tri Dao · Beidi Chen · Nimit Sohoni · Arjun Desai · Michael Poli · Jessica Grogan · Alexander Liu · Aniruddh Rao · Atri Rudra · Christopher Re
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Room 301 - 303
Online Active Regression
In MISC: Unsupervised and Semi-supervised Learning
Cheng Chen · Yi Li · Yiming Sun
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Hall F
Path-Gradient Estimators for Continuous Normalizing Flows
In APP: Computer Vision
Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 318 - 320
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
In Optimization
Anastasios Angelopoulos · Amit Pal Kohli · Stephen Bates · Michael Jordan · Jitendra Malik · Thayer Alshaabi · Srigokul Upadhyayula · Yaniv Romano
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Hall G
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
In Theory
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 309
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
In Reinforcement Learning: Deep/Batch/Offline
Edoardo Cetin · Philip Ball · Stephen Roberts · Oya Celiktutan
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 310
A query-optimal algorithm for finding counterfactuals
In Theory: Bandits/RL/Everything Else
Guy Blanc · Caleb Koch · Jane Lange · Li-Yang Tan
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 327 - 329
SpeqNets: Sparsity-aware permutation-equivariant graph networks
In DL: Graph Neural Networks
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Ballroom 3 & 4
A Consistent and Efficient Evaluation Strategy for Attribution Methods
In SA: Accountability, Transparency and Interpretability
Yao Rong · Tobias Leemann · Vadim Borisov · Gjergji Kasneci · Enkelejda Kasneci
Oral
Tue Jul 19 11:05 AM -- 11:25 AM (PDT) @ Ballroom 3 & 4
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
In SA: Accountability, Transparency and Interpretability
Stephan Wäldchen · Sebastian Pokutta · Felix Huber
Oral
Tue Jul 19 11:05 AM -- 11:25 AM (PDT) @ Room 327 - 329
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
In DL: Graph Neural Networks
Alexei Baevski · Wei-Ning Hsu · Qiantong Xu · Arun Babu · Jiatao Gu · Michael Auli
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 310
Linear Bandit Algorithms with Sublinear Time Complexity
In Theory: Bandits/RL/Everything Else
Shuo Yang · Tongzheng Ren · Sanjay Shakkottai · Eric Price · Inderjit Dhillon · Sujay Sanghavi
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 309
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
In Reinforcement Learning: Deep/Batch/Offline
Miguel Suau · Jinke He · Matthijs T. J. Spaan · Frans Oliehoek
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 318 - 320
FedNL: Making Newton-Type Methods Applicable to Federated Learning
In Optimization
Mher Safaryan · Rustem Islamov · Xun Qian · Peter Richtarik
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Hall G
Streaming Algorithms for Support-Aware Histograms
In Theory
Justin Chen · Piotr Indyk · Tal Wagner
Oral
Tue Jul 19 11:10 AM -- 11:30 AM (PDT) @ Room 318 - 320 None
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
In Optimization
Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Room 309
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
In Reinforcement Learning: Deep/Batch/Offline
Yao Mu · Shoufa Chen · Mingyu Ding · Jianyu Chen · Runjian Chen · Ping Luo
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Room 310
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
In Theory: Bandits/RL/Everything Else
Nadiia Chepurko · Kenneth Clarkson · Lior Horesh · Honghao Lin · David Woodruff
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Hall G
Power-Law Escape Rate of SGD
In Theory
Takashi Mori · Liu Ziyin · Kangqiao Liu · Masahito Ueda
Oral
Tue Jul 19 11:15 AM -- 11:35 AM (PDT) @ Room 310
Individual Preference Stability for Clustering
In Theory: Bandits/RL/Everything Else
Saba Ahmadi · Pranjal Awasthi · Samir Khuller · Matthäus Kleindessner · Jamie Morgenstern · Pattara Sukprasert · Ali Vakilian
Oral
Tue Jul 19 11:15 AM -- 11:35 AM (PDT) @ Room 309
Offline RL Policies Should Be Trained to be Adaptive
In Reinforcement Learning: Deep/Batch/Offline
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine
Oral
Tue Jul 19 11:15 AM -- 11:35 AM (PDT) @ Hall G
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
In Theory
Heejong Bong · Alessandro Rinaldo
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 307
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
In PM: Gaussian Processes
Jixiang Qing · Tom Dhaene · Ivo Couckuyt
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Generalizing to New Physical Systems via Context-Informed Dynamics Model
In DL: Algorithms
Matthieu Kirchmeyer · Yuan Yin · Jérémie DONA · Nicolas Baskiotis · alain rakotomamonjy · Patrick Gallinari
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 301 - 303
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
In MISC: Unsupervised and Semi-supervised Learning
Qi Lyu · Xiao Fu
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Hall F
Variational Feature Pyramid Networks
In APP: Computer Vision
PANAGIOTIS DIMITRAKOPOULOS · Giorgos Sfikas · CHRISTOPHOROS NIKOU
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 307
Bayesian Optimization under Stochastic Delayed Feedback
In PM: Gaussian Processes
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
Self-conditioning Pre-Trained Language Models
In DL: Algorithms
Xavier Suau · Luca Zappella · Nicholas Apostoloff
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Ballroom 3 & 4
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
In SA: Accountability, Transparency and Interpretability
Michael Hedderich · Jonas Fischer · Dietrich Klakow · Jilles Vreeken
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 301 - 303
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
In MISC: Unsupervised and Semi-supervised Learning
Ching-Yun (Irene) Ko · Jeet Mohapatra · Sijia Liu · Pin-Yu Chen · Luca Daniel · Lily Weng
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 327 - 329
Position Prediction as an Effective Pretraining Strategy
In DL: Graph Neural Networks
Shuangfei Zhai · Navdeep Jaitly · Jason Ramapuram · Dan Busbridge · Tatiana Likhomanenko · Joseph Cheng · Walter Talbott · Chen Huang · Hanlin Goh · Joshua M Susskind
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Hall F
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
In APP: Computer Vision
Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
In Optimization
Dongruo Zhou · Quanquan Gu
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Ballroom 3 & 4
XAI for Transformers: Better Explanations through Conservative Propagation
In SA: Accountability, Transparency and Interpretability
Ameen Ali · Thomas Schnake · Oliver Eberle · Grégoire Montavon · Klaus-robert Mueller · Lior Wolf
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 307
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
In PM: Gaussian Processes
Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 327 - 329
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
In DL: Graph Neural Networks
Ekdeep Singh Lubana · Chi Ian Tang · Fahim Kawsar · Robert Dick · Akhil Mathur
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
In DL: Algorithms
Jaeyun Song · Joonhyung Park · Eunho Yang
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 301 - 303
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
In MISC: Unsupervised and Semi-supervised Learning
Hongxin Wei · Lue Tao · RENCHUNZI XIE · LEI FENG · Bo An
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Hall F
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
In APP: Computer Vision
Teng Wang · Wenhao Jiang · Zhichao Lu · Feng Zheng · Ran Cheng · chengguo yin · Ping Luo
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 309
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
In Reinforcement Learning: Deep/Batch/Offline
Katie Kang · Paula Gradu · Jason Choi · Michael Janner · Claire Tomlin · Sergey Levine
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Hall G
Faster Algorithms for Learning Convex Functions
In Theory
Ali Siahkamari · Durmus Alp Emre Acar · Christopher Liao · Kelly Geyer · Venkatesh Saligrama · Brian Kulis
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 310
Correlated Quantization for Distributed Mean Estimation and Optimization
In Theory: Bandits/RL/Everything Else
Ananda Suresh · Ziteng Sun · Jae Ro · Felix Xinnan Yu
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
In Optimization
Lucy Gao · Jane J. Ye · Haian Yin · Shangzhi Zeng · Jin Zhang
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 3 & 4
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
In SA: Accountability, Transparency and Interpretability
Haotian Ma · Hao Zhang · Fan Zhou · Yinqing Zhang · Quanshi Zhang
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Confidence Score for Source-Free Unsupervised Domain Adaptation
In MISC: Unsupervised and Semi-supervised Learning
Jonghyun Lee · Dahuin Jung · Junho Yim · Sungroh Yoon
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 307
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
In PM: Gaussian Processes
Sebastian Tay · Chuan Sheng Foo · Urano Daisuke · Richalynn Leong · Bryan Kian Hsiang Low
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
In DL: Algorithms
Jaehong Yoon · Geon Park · Wonyong Jeong · Sung Ju Hwang
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
Deep and Flexible Graph Neural Architecture Search
In DL: Graph Neural Networks
Wentao Zhang · Zheyu Lin · Yu Shen · Yang Li · Zhi Yang · Bin Cui
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Hall F
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
In APP: Computer Vision
Peihao Wang · Zhiwen Fan · Tianlong Chen · Zhangyang “Atlas” Wang
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Hall G
Feature selection using e-values
In Theory
Subhabrata Majumdar · Snigdhansu Chatterjee
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
Probabilistic Bilevel Coreset Selection
In Optimization
Xiao Zhou · Renjie Pi · Weizhong Zhang · Yong LIN · Zonghao Chen · Tong Zhang
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 310
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
In Theory: Bandits/RL/Everything Else
Xuchuang Wang · Hong Xie · John C. S. Lui
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 309
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
In Reinforcement Learning: Deep/Batch/Offline
Pengyi Li · Hongyao Tang · Tianpei Yang · Xiaotian Hao · Tong Sang · Yan Zheng · Jianye Hao · Matthew Taylor · Wenyuan Tao · Zhen Wang
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
In DL: Graph Neural Networks
Yixuan He · Quan Gan · David Wipf · Gesine Reinert · Junchi Yan · Mihai Cucuringu
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 307
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
In PM: Gaussian Processes
Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Gradient Based Clustering
In MISC: Unsupervised and Semi-supervised Learning
Aleksandar Armacki · Dragana Bajovic · Dusan Jakovetic · Soummya Kar
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Interpretable Off-Policy Learning via Hyperbox Search
In SA: Accountability, Transparency and Interpretability
Daniel Tschernutter · Tobias Hatt · Stefan Feuerriegel
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
In DL: Algorithms
Yang Zhao · Hao Zhang · Xiuyuan Hu
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Hall F
Time Is MattEr: Temporal Self-supervision for Video Transformers
In APP: Computer Vision
Sukmin Yun · Jaehyung Kim · Dongyoon Han · Hwanjun Song · Jung-Woo Ha · Jinwoo Shin
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 310
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
In Theory: Bandits/RL/Everything Else
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 318 - 320
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
In Optimization
Meyer Scetbon · Gabriel Peyré · Marco Cuturi
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Hall G
ActiveHedge: Hedge meets Active Learning
In Theory
Bhuvesh Kumar · Jacob Abernethy · Venkatesh Saligrama
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 309
Supervised Off-Policy Ranking
In Reinforcement Learning: Deep/Batch/Offline
Yue Jin · Yue Zhang · Tao Qin · Xudong Zhang · Jian Yuan · Houqiang Li · Tie-Yan Liu
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 307
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
In PM: Gaussian Processes
Sebastian Ament · Carla Gomes
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 3 & 4
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
In SA: Accountability, Transparency and Interpretability
Yaojie Hu · Jin Tian
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
In DL: Algorithms
Rajarshi Das · Ameya Godbole · Ankita Rajaram Naik · Elliot Tower · Manzil Zaheer · Hannaneh Hajishirzi · Robin Jia · Andrew McCallum
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 301 - 303
Global Optimization of K-Center Clustering
In MISC: Unsupervised and Semi-supervised Learning
Mingfei Shi · Kaixun Hua · Jiayang Ren · Yankai Cao
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 327 - 329
Large-Scale Graph Neural Architecture Search
In DL: Graph Neural Networks
Chaoyu Guan · Xin Wang · Hong Chen · Ziwei Zhang · Wenwu Zhu
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Hall F
Benchmarking and Analyzing Point Cloud Classification under Corruptions
In APP: Computer Vision
Jiawei Ren · Liang Pan · Ziwei Liu
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 318 - 320
On Implicit Bias in Overparameterized Bilevel Optimization
In Optimization
Paul Vicol · Jonathan Lorraine · Fabian Pedregosa · David Duvenaud · Roger Grosse
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 309
The Primacy Bias in Deep Reinforcement Learning
In Reinforcement Learning: Deep/Batch/Offline
Evgenii Nikishin · Max Schwarzer · Pierluca D'Oro · Pierre-Luc Bacon · Aaron Courville
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 310
The Algebraic Path Problem for Graph Metrics
In Theory: Bandits/RL/Everything Else
Enrique Fita Sanmartín · Sebastian Damrich · Fred Hamprecht
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Hall G
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
In Theory
Aravind Reddy · Ryan A. Rossi · Zhao Song · Anup Rao · Tung Mai · Nedim Lipka · Gang Wu · Eunyee Koh · Nesreen K Ahmed
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 3 & 4
On the Adversarial Robustness of Causal Algorithmic Recourse
In SA: Accountability, Transparency and Interpretability
Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 301 - 303
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
In MISC: Unsupervised and Semi-supervised Learning
Chen Qiu · Aodong Li · Marius Kloft · Maja Rudolph · Stephan Mandt
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 327 - 329
Optimization-Induced Graph Implicit Nonlinear Diffusion
In DL: Graph Neural Networks
Qi Chen · Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
In DL: Algorithms
Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Hall F
Understanding The Robustness in Vision Transformers
In APP: Computer Vision
Zhou Daquan · Zhiding Yu · Enze Xie · Chaowei Xiao · Animashree Anandkumar · Jiashi Feng · Jose M. Alvarez
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Hall G
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
In Theory
Malik TIOMOKO · Ekkehard Schnoor · Mohamed El Amine Seddik · Igor Colin · Aladin Virmaux
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 310
Steerable 3D Spherical Neurons
In Theory: Bandits/RL/Everything Else
Pavlo Melnyk · Michael Felsberg · Mårten Wadenbäck
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 309
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
In Reinforcement Learning: Deep/Batch/Offline
Shentao Yang · Yihao Feng · Shujian Zhang · Mingyuan Zhou
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
In SA: Accountability, Transparency and Interpretability
Bodhisattwa Prasad Majumder · Oana-Maria Camburu · Thomas Lukasiewicz · Julian McAuley
Coffee Break
Tue Jul 19 12:00 PM -- 12:30 PM (PDT)
Coffee Break
Break
Tue Jul 19 01:00 PM -- 01:15 PM (PDT)
Short Break
Oral
Tue Jul 19 01:15 PM -- 01:35 PM (PDT) @ Hall F
POEM: Out-of-Distribution Detection with Posterior Sampling
In SA: Trustworthy Machine Learning
Yifei Ming · Ying Fan · Yixuan Li
Oral
Tue Jul 19 01:15 PM -- 01:35 PM (PDT) @ Hall G
H-Consistency Bounds for Surrogate Loss Minimizers
In T: Learning/Deep Learning Theory
Pranjal Awasthi · Anqi Mao · Mehryar Mohri · Yutao Zhong
Oral
Tue Jul 19 01:15 PM -- 01:35 PM (PDT) @ Room 307
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
In PM: Monte Carlo and Sampling Methods
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Oral
Tue Jul 19 01:15 PM -- 01:35 PM (PDT) @ Room 310
Cooperative Online Learning in Stochastic and Adversarial MDPs
In Theory
Tal Lancewicki · Aviv Rosenberg · Yishay Mansour
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2 None
Deep Learning
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Ballroom 3 & 4 None
MISC: Causality
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Hall F None
SA: Trustworthy Machine Learning
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Hall G None
T: Learning/Deep Learning Theory
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 301 - 303 None
APP: Neuroscience, Cognitive Science
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 307 None
PM: Monte Carlo and Sampling Methods
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 309 None
OPT: Non-Convex
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 318 - 320 None
RL: Multi-agent
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 327 - 329 None
DL: Sequential Models
Session
Tue Jul 19 01:15 PM -- 02:45 PM (PDT) @ Room 310 None
Theory
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Ballroom 3 & 4
Coordinated Double Machine Learning
In MISC: Causality
Nitai Fingerhut · Matteo Sesia · Yaniv Romano
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 318 - 320
Model-Free Opponent Shaping
In RL: Multi-agent
Christopher Lu · Timon Willi · Christian Schroeder de Witt · Jakob Foerster
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 309
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
In OPT: Non-Convex
Jingzhao Zhang · Haochuan Li · Suvrit Sra · Ali Jadbabaie
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Ballroom 1 & 2
Prototype Based Classification from Hierarchy to Fairness
In Deep Learning
Mycal Tucker · Julie Shah
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 301 - 303
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
In APP: Neuroscience, Cognitive Science
Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 327 - 329
Modeling Irregular Time Series with Continuous Recurrent Units
In DL: Sequential Models
Mona Schirmer · Mazin Eltayeb · Stefan Lessmann · Maja Rudolph
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 309
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
In OPT: Non-Convex
Peng Wang · Huikang Liu · Anthony Man-Cho So · Laura Balzano
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 301 - 303
On the Effects of Artificial Data Modification
In APP: Neuroscience, Cognitive Science
Antonia Marcu · Adam Prugel-Bennett
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 318 - 320
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
In RL: Multi-agent
Boxiang Lyu · Zhaoran Wang · Mladen Kolar · Zhuoran Yang
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 327 - 329
TACTiS: Transformer-Attentional Copulas for Time Series
In DL: Sequential Models
Alexandre Drouin · Étienne Marcotte · Nicolas Chapados
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Ballroom 3 & 4
Exploiting Independent Instruments: Identification and Distribution Generalization
In MISC: Causality
Sorawit Saengkyongam · Leonard Henckel · Niklas Pfister · Jonas Peters
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Ballroom 1 & 2
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
In Deep Learning
Zhaocheng Zhu · Mikhail Galkin · Zuobai Zhang · Jian Tang
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 327 - 329
CerDEQ: Certifiable Deep Equilibrium Model
In DL: Sequential Models
Mingjie Li · Yisen Wang · Zhouchen Lin
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 301 - 303
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
In APP: Neuroscience, Cognitive Science
Alan J.X. Guo · Cong Liang · Qing-Hu Hou
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Ballroom 3 & 4
Partial Counterfactual Identification from Observational and Experimental Data
In MISC: Causality
Junzhe Zhang · Jin Tian · Elias Bareinboim
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 318 - 320
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
In RL: Multi-agent
Pier Giuseppe Sessa · Maryam Kamgarpour · Andreas Krause
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 309
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
In OPT: Non-Convex
Huan Li · Zhouchen Lin
Spotlight
Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Ballroom 1 & 2
Deep Probability Estimation
In Deep Learning
Sheng Liu · Aakash Kaku · Weicheng Zhu · Matan Leibovich · Sreyas Mohan · Boyang Yu · Haoxiang Huang · Laure Zanna · Narges Razavian · Jonathan Niles-Weed · Carlos Fernandez-Granda
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 309
Understanding the unstable convergence of gradient descent
In OPT: Non-Convex
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
In DL: Sequential Models
Rui Wang · Robin Walters · Rose Yu
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
In RL: Multi-agent
Kyunghwan Son · Junsu Kim · Sungsoo Ahn · Roben Delos Reyes · Yung Yi · Jinwoo Shin
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
Uncertainty Modeling in Generative Compressed Sensing
In Deep Learning
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Ballroom 3 & 4
On Measuring Causal Contributions via do-interventions
In MISC: Causality
Yonghan Jung · Shiva Kasiviswanathan · Jin Tian · Dominik Janzing · Patrick Bloebaum · Elias Bareinboim
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
In APP: Neuroscience, Cognitive Science
Ahmed Alaa · Boris van Breugel · Evgeny S. Saveliev · Mihaela van der Schaar
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 310
Simple and near-optimal algorithms for hidden stratification and multi-group learning
In Theory
Christopher Tosh · Daniel Hsu
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 307
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
In PM: Monte Carlo and Sampling Methods
Lorenz Richter · Julius Berner
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Hall G
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
In T: Learning/Deep Learning Theory
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Hall F
Selective Network Linearization for Efficient Private Inference
In SA: Trustworthy Machine Learning
Minsu Cho · Ameya Joshi · Brandon Reagen · Siddharth Garg · Chinmay Hegde
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Ballroom 3 & 4
The Role of Deconfounding in Meta-learning
In MISC: Causality
Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Going Deeper into Permutation-Sensitive Graph Neural Networks
In Deep Learning
Zhongyu Huang · Yingheng Wang · Chaozhuo Li · Huiguang He
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 309
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
In OPT: Non-Convex
PRANAY SHARMA · Rohan Panda · Gauri Joshi · Pramod K Varshney
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
In DL: Sequential Models
Tian Gao · DEBARUN BHATTACHARJYA · Elliot Nelson · Miao Liu · Yue Yu
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
In RL: Multi-agent
Mathieu Lauriere · Sarah Perrin · Sertan Girgin · Paul Muller · Ayush Jain · Theophile Cabannes · Georgios Piliouras · Julien Perolat · Romuald Elie · Olivier Pietquin · Matthieu Geist
Spotlight
Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
In APP: Neuroscience, Cognitive Science
Giorgia Dellaferrera · Gabriel Kreiman
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 310
Being Properly Improper
In Theory
Tyler Sypherd · Richard Nock · Lalitha Sankar
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 307
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
In PM: Monte Carlo and Sampling Methods
Ruilin Li · Hongyuan Zha · Molei Tao
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Hall F
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
In SA: Trustworthy Machine Learning
Ping Xiong · Thomas Schnake · Grégoire Montavon · Klaus-robert Mueller · Shinichi Nakajima
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Hall G
The Teaching Dimension of Regularized Kernel Learners
In T: Learning/Deep Learning Theory
Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Ballroom 3 & 4
CITRIS: Causal Identifiability from Temporal Intervened Sequences
In MISC: Causality
Phillip Lippe · Sara Magliacane · Sindy Löwe · Yuki Asano · Taco Cohen · Stratis Gavves
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 309
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
In OPT: Non-Convex
Pini Zilber · Boaz Nadler
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
Learning from Counterfactual Links for Link Prediction
In Deep Learning
Tong Zhao · Gang Liu · Daheng Wang · Wenhao Yu · Meng Jiang
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
In RL: Multi-agent
Wei Fu · Chao Yu · Zelai Xu · Jiaqi Yang · Yi Wu
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
In DL: Sequential Models
Zhongkai Hao · Chengyang Ying · Yinpeng Dong · Hang Su · Jian Song · Jun Zhu
Spotlight
Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
In APP: Neuroscience, Cognitive Science
Akhilan Boopathy · Ila R. Fiete
Oral
Tue Jul 19 01:45 PM -- 02:05 PM (PDT) @ Room 301 - 303 None
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
In APP: Neuroscience, Cognitive Science
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim
Oral
Tue Jul 19 01:45 PM -- 02:05 PM (PDT) @ Room 309
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
In OPT: Non-Convex
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
Oral
Tue Jul 19 01:45 PM -- 02:05 PM (PDT) @ Room 327 - 329
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
In DL: Sequential Models
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
Oral
Tue Jul 19 01:45 PM -- 02:05 PM (PDT) @ Room 318 - 320
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
In RL: Multi-agent
Dongsheng Ding · Chen-Yu Wei · Kaiqing Zhang · Mihailo Jovanovic
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Hall F
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
In SA: Trustworthy Machine Learning
Renzhe Xu · Xingxuan Zhang · Zheyan Shen · Tong Zhang · Peng Cui
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Hall G
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
In T: Learning/Deep Learning Theory
Adarsh Barik · Jean Honorio
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Room 307
LSB: Local Self-Balancing MCMC in Discrete Spaces
In PM: Monte Carlo and Sampling Methods
EMANUELE SANSONE
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Room 310
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
In Theory
Franco Pellegrini · Giulio Biroli
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Ballroom 3 & 4
Online Balanced Experimental Design
In MISC: Causality
David Arbour · Drew Dimmery · Tung Mai · Anup Rao
Spotlight
Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
In Deep Learning
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
Oral
Tue Jul 19 01:50 PM -- 02:10 PM (PDT) @ Ballroom 1 & 2
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
In Deep Learning
Michael Zhang · Nimit Sohoni · Hongyang Zhang · Chelsea Finn · Christopher Re
Oral
Tue Jul 19 01:50 PM -- 02:10 PM (PDT) @ Ballroom 3 & 4 None
Minimum Cost Intervention Design for Causal Effect Identification
In MISC: Causality
Sina Akbari · Jalal Etesami · Negar Kiyavash
Spotlight
Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Hall F
Modular Conformal Calibration
In SA: Trustworthy Machine Learning
Charles Marx · Shengjia Zhao · Willie Neiswanger · Stefano Ermon
Spotlight
Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Room 307
A Langevin-like Sampler for Discrete Distributions
In PM: Monte Carlo and Sampling Methods
Ruqi Zhang · Xingchao Liu · Qiang Liu
Spotlight
Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Hall G
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
In T: Learning/Deep Learning Theory
Yi Hao · Ayush Jain · Alon Orlitsky · Vaishakh Ravindrakumar
Spotlight
Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Room 310
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
In Theory
Lai Tian · Kaiwen Zhou · Anthony Man-Cho So
Oral
Tue Jul 19 01:55 PM -- 02:15 PM (PDT) @ Hall F
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
In SA: Trustworthy Machine Learning
Yue Gao · Ilia Shumailov · Kassem Fawaz
Spotlight
Tue Jul 19 01:55 PM -- 02:00 PM (PDT) @ Hall G
Multiclass learning with margin: exponential rates with no bias-variance trade-off
In T: Learning/Deep Learning Theory
Stefano Vigogna · Giacomo Meanti · Ernesto De Vito · Lorenzo Rosasco
Spotlight
Tue Jul 19 01:55 PM -- 02:00 PM (PDT) @ Room 307
Scalable Spike-and-Slab
In PM: Monte Carlo and Sampling Methods
Niloy Biswas · Lester Mackey · Xiao-Li Meng
Spotlight
Tue Jul 19 01:55 PM -- 02:00 PM (PDT) @ Room 310
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
In Theory
Tianhao Wu · Yunchang Yang · Han Zhong · Liwei Wang · Simon Du · Jiantao Jiao
Oral
Tue Jul 19 02:00 PM -- 02:20 PM (PDT) @ Hall G
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
In T: Learning/Deep Learning Theory
Tudor Manole · Nhat Ho
Oral
Tue Jul 19 02:00 PM -- 02:20 PM (PDT) @ Room 307
Nonparametric Involutive Markov Chain Monte Carlo
In PM: Monte Carlo and Sampling Methods
Carol Mak · Fabian Zaiser · Luke Ong
Oral
Tue Jul 19 02:00 PM -- 02:20 PM (PDT) @ Room 310
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
In Theory
Yinglun Zhu · Paul Mineiro
Spotlight
Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 327 - 329
Improving Language Models by Retrieving from Trillions of Tokens
In DL: Sequential Models
Sebastian Borgeaud · Arthur Mensch · Jordan Hoffmann · Trevor Cai · Eliza Rutherford · Katie Millican · George van den Driessche · Jean-Baptiste Lespiau · Bogdan Damoc · Aidan Clark · Diego de Las Casas · Aurelia Guy · Jacob Menick · Roman Ring · Tom Hennigan · Saffron Huang · Loren Maggiore · Chris Jones · Albin Cassirer · Andy Brock · Michela Paganini · Geoffrey Irving · Oriol Vinyals · Simon Osindero · Karen Simonyan · Jack Rae · Erich Elsen · Laurent Sifre
Spotlight
Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 318 - 320
Self-Organized Polynomial-Time Coordination Graphs
In RL: Multi-agent
Qianlan Yang · Weijun Dong · Zhizhou Ren · Jianhao Wang · Tonghan Wang · Chongjie Zhang
Spotlight
Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 301 - 303
Describing Differences between Text Distributions with Natural Language
In APP: Neuroscience, Cognitive Science
Ruiqi Zhong · Charlie Snell · Dan Klein · Jacob Steinhardt
Spotlight
Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 309
AdaGrad Avoids Saddle Points
In OPT: Non-Convex
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 327 - 329
Closed-Form Diffeomorphic Transformations for Time Series Alignment
In DL: Sequential Models
Iñigo Martinez · Elisabeth Viles · Igor G. Olaizola
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Ballroom 3 & 4
Causal structure-based root cause analysis of outliers
In MISC: Causality
Kailash Budhathoki · Lenon Minorics · Patrick Bloebaum · Dominik Janzing
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Ballroom 1 & 2
Principal Component Flows
In Deep Learning
Edmond Cunningham · Adam Cobb · Susmit Jha
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 301 - 303
Distinguishing rule- and exemplar-based generalization in learning systems
In APP: Neuroscience, Cognitive Science
Ishita Dasgupta · Erin Grant · Thomas Griffiths
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 309
Fast and Provable Nonconvex Tensor RPCA
In OPT: Non-Convex
Haiquan Qiu · Yao Wang · Shaojie Tang · Deyu Meng · QUANMING YAO
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 318 - 320
Individual Reward Assisted Multi-Agent Reinforcement Learning
In RL: Multi-agent
Li Wang · Yupeng Zhang · Yujing Hu · Weixun Wang · Chongjie Zhang · Yang Gao · Jianye Hao · Tangjie Lv · Changjie Fan
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Hall F
Context-Aware Drift Detection
In SA: Trustworthy Machine Learning
Oliver Cobb · Arnaud Van Looveren
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 327 - 329
Removing Batch Normalization Boosts Adversarial Training
In DL: Sequential Models
Haotao Wang · Aston Zhang · Shuai Zheng · Xingjian Shi · Mu Li · Zhangyang “Atlas” Wang
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Ballroom 3 & 4
Instrumental Variable Regression with Confounder Balancing
In MISC: Causality
Anpeng Wu · Kun Kuang · Bo Li · Fei Wu
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 318 - 320
Generalized Beliefs for Cooperative AI
In RL: Multi-agent
Darius Muglich · Luisa Zintgraf · Christian Schroeder de Witt · Shimon Whiteson · Jakob Foerster
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 309
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
In OPT: Non-Convex
Haochuan Li · Farzan Farnia · Subhro Das · Ali Jadbabaie
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Ballroom 1 & 2
Bit Prioritization in Variational Autoencoders via Progressive Coding
In Deep Learning
Rui Shu · Stefano Ermon
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 301 - 303
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
In APP: Neuroscience, Cognitive Science
Cristiano Capone · Cosimo Lupo · Paolo Muratore · Pier Stanislao Paolucci
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 307
Continual Repeated Annealed Flow Transport Monte Carlo
In PM: Monte Carlo and Sampling Methods
Alexander Matthews · Michael Arbel · Danilo J. Rezende · Arnaud Doucet
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 310
Minimax M-estimation under Adversarial Contamination
In Theory
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Hall G
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
In T: Learning/Deep Learning Theory
Shaojie Li · Yong Liu
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Hall F
Accelerating Shapley Explanation via Contributive Cooperator Selection
In SA: Trustworthy Machine Learning
Guanchu Wang · Yu-Neng Chuang · Mengnan Du · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Ballroom 3 & 4
Causal Transformer for Estimating Counterfactual Outcomes
In MISC: Causality
Valentyn Melnychuk · Dennis Frauen · Stefan Feuerriegel
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 309
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
In OPT: Non-Convex
Kevin Scaman · Cedric Malherbe · Ludovic DOS SANTOS
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 327 - 329
Forget-free Continual Learning with Winning Subnetworks
In DL: Sequential Models
Haeyong Kang · Rusty Mina · Sultan Rizky Hikmawan Madjid · Jaehong Yoon · Mark Hasegawa-Johnson · Sung Ju Hwang · Chang Yoo
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 318 - 320
Greedy when Sure and Conservative when Uncertain about the Opponents
In RL: Multi-agent
Haobo Fu · Ye Tian · Hongxiang Yu · Weiming Liu · Shuang Wu · Jiechao Xiong · Ying Wen · Kai Li · Junliang Xing · Qiang Fu · Wei Yang
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Ballroom 1 & 2
Generative Flow Networks for Discrete Probabilistic Modeling
In Deep Learning
Dinghuai Zhang · Nikolay Malkin · Zhen Liu · Alexandra Volokhova · Aaron Courville · Yoshua Bengio
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 301 - 303
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
In APP: Neuroscience, Cognitive Science
Lukas Wolf · Ard Kastrati · Martyna Plomecka · Jieming Li · Dustin Klebe · Alexander Veicht · Roger Wattenhofer · Nicolas Langer
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 307
Algorithms for the Communication of Samples
In PM: Monte Carlo and Sampling Methods
Lucas Theis · Nour Ahmed
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Hall G
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
In T: Learning/Deep Learning Theory
Emmanuel Abbe · Elisabetta Cornacchia · Jan Hazla · Christopher Marquis
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Hall F
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
In SA: Trustworthy Machine Learning
Sadegh Farhadkhani · Rachid Guerraoui · Lê-Nguyên Hoang · Oscar Villemaud
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 310
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
In Theory
Jiatai Huang · Yan Dai · Longbo Huang
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2
Diffusion bridges vector quantized variational autoencoders
In Deep Learning
Max Cohen · Guillaume QUISPE · Sylvain Le Corff · Charles Ollion · Eric Moulines
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 327 - 329
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
In DL: Sequential Models
Tian Zhou · Ziqing MA · Qingsong Wen · Xue Wang · Liang Sun · rong jin
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 318 - 320
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
In RL: Multi-agent
Jiahui Li · Kun Kuang · Baoxiang Wang · Furui Liu · Long Chen · Changjie Fan · Fei Wu · Jun Xiao
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Ballroom 3 & 4
Causal Inference Through the Structural Causal Marginal Problem
In MISC: Causality
Luigi Gresele · Julius von Kügelgen · Jonas Kübler · Elke Kirschbaum · Bernhard Schölkopf · Dominik Janzing
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 301 - 303
Minimizing Control for Credit Assignment with Strong Feedback
In APP: Neuroscience, Cognitive Science
Alexander Meulemans · Matilde Tristany Farinha · Maria Cervera · João Sacramento · Benjamin F. Grewe
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 309
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
In OPT: Non-Convex
Songtao Lu
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Hall F
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
In SA: Trustworthy Machine Learning
Zhaoxuan Wu · Yao Shu · Bryan Kian Hsiang Low
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 307
Low-Precision Stochastic Gradient Langevin Dynamics
In PM: Monte Carlo and Sampling Methods
Ruqi Zhang · Andrew Wilson · Christopher De Sa
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 310
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
In Theory
Daniel Rosenkrantz · Abhijin Adiga · Madhav Marathe · Zirou Qiu · S. S. Ravi · Richard Stearns · Anil Vullikanti
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Hall G
Inductive Biases and Variable Creation in Self-Attention Mechanisms
In T: Learning/Deep Learning Theory
Benjamin Edelman · Surbhi Goel · Sham Kakade · Cyril Zhang
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Ballroom 1 & 2
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
In Deep Learning
Adrián Javaloy · Maryam Meghdadi · Isabel Valera
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 301 - 303
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
In APP: Neuroscience, Cognitive Science
Aditya Vaidya · Shailee Jain · Alexander Huth
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Ballroom 3 & 4
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
In MISC: Causality
Heiner Kremer · Jia-Jie Zhu · Krikamol Muandet · Bernhard Schölkopf
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 318 - 320
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
In RL: Multi-agent
ZHIHAN LIU · Lu Miao · Zhaoran Wang · Michael Jordan · Zhuoran Yang
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 327 - 329
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
In DL: Sequential Models
Francesco Croce · Matthias Hein
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 309
Anticorrelated Noise Injection for Improved Generalization
In OPT: Non-Convex
Antonio Orvieto · Hans Kersting · Frank Proske · Francis Bach · Aurelien Lucchi
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Hall F
Sample Efficient Learning of Predictors that Complement Humans
In SA: Trustworthy Machine Learning
Mohammad-Amin Charusaie · Hussein Mozannar · David Sontag · Samira Samadi
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Hall G
Topology-aware Generalization of Decentralized SGD
In T: Learning/Deep Learning Theory
Tongtian Zhu · Fengxiang He · Lan Zhang · Zhengyang Niu · Mingli Song · Dacheng Tao
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 307
Fast Relative Entropy Coding with A* coding
In PM: Monte Carlo and Sampling Methods
Gergely Flamich · Stratis Markou · Jose Miguel Hernandez-Lobato
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 310
Boosting Graph Structure Learning with Dummy Nodes
In Theory
Xin Liu · Jiayang Cheng · Yangqiu Song · Xin Jiang
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Ballroom 1 & 2
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
In Deep Learning
Dongjun Kim · Seungjae Shin · Kyungwoo Song · Wanmo Kang · IL CHUL MOON
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 327 - 329
On the Practicality of Deterministic Epistemic Uncertainty
In DL: Sequential Models
Janis Postels · Mattia Segù · Tao Sun · Luca Daniel Sieber · Luc Van Gool · Fisher Yu · Federico Tombari
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 301 - 303
Towards Scaling Difference Target Propagation by Learning Backprop Targets
In APP: Neuroscience, Cognitive Science
Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 318 - 320
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
In RL: Multi-agent
Siqi Liu · Marc Lanctot · Luke Marris · Nicolas Heess
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Ballroom 3 & 4
Matching Learned Causal Effects of Neural Networks with Domain Priors
In MISC: Causality
Sai Srinivas Kancheti · Gowtham Reddy Abbavaram · Vineeth N Balasubramanian · Amit Sharma
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Hall G
Understanding Gradient Descent on the Edge of Stability in Deep Learning
In T: Learning/Deep Learning Theory
Sanjeev Arora · Zhiyuan Li · Abhishek Panigrahi
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 310
Lazy Estimation of Variable Importance for Large Neural Networks
In Theory
Yue Gao · Abby Stevens · Garvesh Raskutti · Rebecca Willett
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 307
Accurate Quantization of Measures via Interacting Particle-based Optimization
In PM: Monte Carlo and Sampling Methods
Lantian Xu · Anna Korba · Dejan Slepcev
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 301 - 303
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
In APP: Neuroscience, Cognitive Science
Sugandha Sharma · Sarthak Chandra · Ila R. Fiete
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 318 - 320
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
In RL: Multi-agent
Ziyi Chen · Yi Zhou · Rong-Rong Chen · Shaofeng Zou
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 327 - 329
Combining Diverse Feature Priors
In DL: Sequential Models
Saachi Jain · Dimitris Tsipras · Aleksander Madry
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
In Deep Learning
Ruize Gao · Jiongxiao Wang · Kaiwen Zhou · Feng Liu · Binghui Xie · Gang Niu · Bo Han · James Cheng
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Ballroom 3 & 4
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
In MISC: Causality
Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
DNA: Domain Generalization with Diversified Neural Averaging
In Poster Session 1
Xu Chu · Yujie Jin · Wenwu Zhu · Yasha Wang · Xin Wang · Shanghang Zhang · Hong Mei
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
In Poster Session 1
Yinshuang Xu · Jiahui Lei · Edgar Dobriban · Kostas Daniilidis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #104
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
In Poster Session 1
Ziyu Wang · Wenhao Jiang · Yiming Zhu · Li Yuan · Yibing Song · Wei Liu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
Channel Importance Matters in Few-Shot Image Classification
In Poster Session 1
Xu Luo · Jing Xu · ZENGLIN Xu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
In Poster Session 1
Shiran Zada · Itay Benou · Michal Irani
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
In Poster Session 1
Alexandre Rame · Corentin Dancette · Matthieu Cord
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Certified Robustness Against Natural Language Attacks by Causal Intervention
In Poster Session 1
Haiteng Zhao · Chang Ma · Xinshuai Dong · Anh Tuan Luu · Zhi-Hong Deng · Hanwang Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
In Poster Session 1
He Bai · Renjie Zheng · Junkun Chen · Mingbo Ma · Xintong Li · Liang Huang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
On the Learning of Non-Autoregressive Transformers
In Poster Session 1
Fei Huang · Tianhua Tao · Hao Zhou · Lei Li · Minlie Huang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
In Poster Session 1
Peiyu Yu · Sirui Xie · Xiaojian Ma · Baoxiong Jia · Bo Pang · Ruiqi Gao · Yixin Zhu · Song-Chun Zhu · Ying Nian Wu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #118
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
In Poster Session 1
Aaron Chan · Maziar Sanjabi · Lambert Mathias · Liang Tan · Shaoliang Nie · Xiaochang Peng · Xiang Ren · Hamed Firooz
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Black-Box Tuning for Language-Model-as-a-Service
In Poster Session 1
Tianxiang Sun · Yunfan Shao · Hong Qian · Xuanjing Huang · Xipeng Qiu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
In Poster Session 1
Kawin Ethayarajh · Yejin Choi · Swabha Swayamdipta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
Co-training Improves Prompt-based Learning for Large Language Models
In Poster Session 1
Hunter Lang · Monica Agrawal · Yoon Kim · David Sontag
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
In Poster Session 1
Fei Huang · Hao Zhou · Yang Liu · Hang Li · Minlie Huang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
In Poster Session 1
Adam Liska · Tomas Kocisky · Elena Gribovskaya · Tayfun Terzi · Eren Sezener · Devang Agrawal · Cyprien de Masson d'Autume · Tim Scholtes · Manzil Zaheer · Susannah Young · Ellen Gilsenan-McMahon · Sophia Austin · Phil Blunsom · Angeliki Lazaridou
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #133
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
In Poster Session 1
Valentin Hofmann · Janet Pierrehumbert · Hinrich Schütze
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
Generative Cooperative Networks for Natural Language Generation
In Poster Session 1
Sylvain Lamprier · Thomas Scialom · Antoine Chaffin · Vincent Claveau · Ewa Kijak · Jacopo Staiano · Benjamin Piwowarski
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
In Poster Session 1
Thomas Wang · Adam Roberts · Daniel Hesslow · Teven Le Scao · Hyung Won Chung · Iz Beltagy · Julien Launay · Colin Raffel
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
In Poster Session 1
Yifan Peng · Siddharth Dalmia · Ian Lane · Shinji Watanabe
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Robust Group Synchronization via Quadratic Programming
In Poster Session 1
Yunpeng Shi · Cole Wyeth · Gilad Lerman
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
UAST: Uncertainty-Aware Siamese Tracking
In Poster Session 1
Dawei Zhang · Yanwei Fu · Zhonglong Zheng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
You Only Cut Once: Boosting Data Augmentation with a Single Cut
In Poster Session 1
Junlin Han · Pengfei Fang · Weihao Li · Jie Hong · Mohammad Ali Armin · Ian Reid · Lars Petersson · HONGDONG LI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
Generative Modeling for Multi-task Visual Learning
In Poster Session 1
Zhipeng Bao · Martial Hebert · Yu-Xiong Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
In Poster Session 1
Andrey Zhmoginov · Mark Sandler · Maksym Vladymyrov
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Parametric Visual Program Induction with Function Modularization
In Poster Session 1
Xuguang Duan · Xin Wang · Ziwei Zhang · Wenwu Zhu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
In Poster Session 1
Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
In Poster Session 1
Teng Wang · Wenhao Jiang · Zhichao Lu · Feng Zheng · Ran Cheng · chengguo yin · Ping Luo
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
In Poster Session 1
Peihao Wang · Zhiwen Fan · Tianlong Chen · Zhangyang “Atlas” Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
Time Is MattEr: Temporal Self-supervision for Video Transformers
In Poster Session 1
Sukmin Yun · Jaehyung Kim · Dongyoon Han · Hwanjun Song · Jung-Woo Ha · Jinwoo Shin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
Benchmarking and Analyzing Point Cloud Classification under Corruptions
In Poster Session 1
Jiawei Ren · Liang Pan · Ziwei Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Understanding The Robustness in Vision Transformers
In Poster Session 1
Zhou Daquan · Zhiding Yu · Enze Xie · Chaowei Xiao · Animashree Anandkumar · Jiashi Feng · Jose M. Alvarez
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
In Poster Session 1
Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
On the Effects of Artificial Data Modification
In Poster Session 1
Antonia Marcu · Adam Prugel-Bennett
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
In Poster Session 1
Alan J.X. Guo · Cong Liang · Qing-Hu Hou
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
In Poster Session 1
Ahmed Alaa · Boris van Breugel · Evgeny S. Saveliev · Mihaela van der Schaar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
In Poster Session 1
Giorgia Dellaferrera · Gabriel Kreiman
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
In Poster Session 1
Akhilan Boopathy · Ila R. Fiete
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Describing Differences between Text Distributions with Natural Language
In Poster Session 1
Ruiqi Zhong · Charlie Snell · Dan Klein · Jacob Steinhardt
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Distinguishing rule- and exemplar-based generalization in learning systems
In Poster Session 1
Ishita Dasgupta · Erin Grant · Thomas Griffiths
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
In Poster Session 1
Cristiano Capone · Cosimo Lupo · Paolo Muratore · Pier Stanislao Paolucci
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
In Poster Session 1
Lukas Wolf · Ard Kastrati · Martyna Plomecka · Jieming Li · Dustin Klebe · Alexander Veicht · Roger Wattenhofer · Nicolas Langer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Minimizing Control for Credit Assignment with Strong Feedback
In Poster Session 1
Alexander Meulemans · Matilde Tristany Farinha · Maria Cervera · João Sacramento · Benjamin F. Grewe
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
In Poster Session 1
Aditya Vaidya · Shailee Jain · Alexander Huth
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards Scaling Difference Target Propagation by Learning Backprop Targets
In Poster Session 1
Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
In Poster Session 1
Sugandha Sharma · Sarthak Chandra · Ila R. Fiete
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
In Poster Session 1
Florian Tramer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
In Poster Session 1
Haoran You · Baopu Li · Shi Huihong · Yonggan Fu · Yingyan Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Provably Adversarially Robust Nearest Prototype Classifiers
In Poster Session 1
Václav Voráček · Matthias Hein
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Certifying Out-of-Domain Generalization for Blackbox Functions
In Poster Session 1
Maurice Weber · Linyi Li · Boxin Wang · Zhikuan Zhao · Bo Li · Ce Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
Intriguing Properties of Input-Dependent Randomized Smoothing
In Poster Session 1
Peter Súkeník · Aleksei Kuvshinov · Stephan Günnemann
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
To Smooth or Not? When Label Smoothing Meets Noisy Labels
In Poster Session 1
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
In Poster Session 1
Francesco Croce · Sven Gowal · Thomas Brunner · Evan Shelhamer · Matthias Hein · Taylan Cemgil
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Generalization Analysis of Adversarial Learning
In Poster Session 1
Waleed Mustafa · Yunwen Lei · Marius Kloft
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
Demystifying the Adversarial Robustness of Random Transformation Defenses
In Poster Session 1
Chawin Sitawarin · Zachary Golan-Strieb · David Wagner
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Double Sampling Randomized Smoothing
In Poster Session 1
Linyi Li · Jiawei Zhang · Tao Xie · Bo Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
TPC: Transformation-Specific Smoothing for Point Cloud Models
In Poster Session 1
Wenda Chu · Linyi Li · Bo Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Structural Entropy Guided Graph Hierarchical Pooling
In Poster Session 1
Junran Wu · Xueyuan Chen · Ke Xu · Shangzhe Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Self-Supervised Representation Learning via Latent Graph Prediction
In Poster Session 1
Yaochen Xie · Zhao Xu · Shuiwang Ji
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #205
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
In Poster Session 1
Shiyong Lan · Yitong Ma · Weikang Huang · Wenwu Wang · Hongyu Yang · pyang li
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
In Poster Session 1
Tianlong Chen · Xuxi Chen · Xiaolong Ma · Yanzhi Wang · Zhangyang “Atlas” Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #201
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
In Poster Session 1
Ling Yang · Shenda Hong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Analyzing and Mitigating Interference in Neural Architecture Search
In Poster Session 1
Jin Xu · Xu Tan · Kaitao Song · Renqian Luo · Yichong Leng · Tao Qin · Tie-Yan Liu · Jian Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
In Poster Session 1
Darshan Thaker · Paris Giampouras · Rene Vidal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Unified Scaling Laws for Routed Language Models
In Poster Session 1
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
In Poster Session 1
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
A deep convolutional neural network that is invariant to time rescaling
In Poster Session 1
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
LyaNet: A Lyapunov Framework for Training Neural ODEs
In Poster Session 1
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
In Poster Session 1
Mark Collier · Rodolphe Jenatton · Efi Kokiopoulou · Jesse Berent
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
On Collective Robustness of Bagging Against Data Poisoning
In Poster Session 1
Ruoxin Chen · Zenan Li · Jie Li · Junchi Yan · Chentao Wu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Hindering Adversarial Attacks with Implicit Neural Representations
In Poster Session 1
Andrei A Rusu · Dan Andrei Calian · Sven Gowal · Raia Hadsell
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #318
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
In Poster Session 1
HeeSun Bae · Seungjae Shin · Byeonghu Na · JoonHo Jang · Kyungwoo Song · IL CHUL MOON
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
In Poster Session 1
Yuanbang Liang · Jing Wu · Yu-Kun Lai · Yipeng Qin
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
In Poster Session 1
Chenlin Meng · Linqi Zhou · Kristy Choi · Tri Dao · Stefano Ermon
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
Controlling Conditional Language Models without Catastrophic Forgetting
In Poster Session 1
Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
In Poster Session 1
Alexander Nichol · Prafulla Dhariwal · Aditya Ramesh · Pranav Shyam · Pamela Mishkin · Bob McGrew · Ilya Sutskever · Mark Chen
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Structure-preserving GANs
In Poster Session 1
Jeremiah Birrell · Markos Katsoulakis · Luc Rey-Bellet · Wei Zhu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #330
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
In Poster Session 1
Samyam Rajbhandari · Conglong Li · Zhewei Yao · Minjia Zhang · Reza Yazdani Aminabadi · Ammar Ahmad Awan · Jeff Rasley · Yuxiong He
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
In Poster Session 1
Fan Bao · Chongxuan Li · Jiacheng Sun · Jun Zhu · Bo Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Equivariant Diffusion for Molecule Generation in 3D
In Poster Session 1
Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
In Poster Session 1
Zhichun Huang · Rudrasis Chakraborty · Vikas Singh
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Conditional GANs with Auxiliary Discriminative Classifier
In Poster Session 1
Liang Hou · Qi Cao · Huawei Shen · Siyuan Pan · Xiaoshuang Li · Xueqi Cheng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
In Poster Session 1
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Matching Normalizing Flows and Probability Paths on Manifolds
In Poster Session 1
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
In Poster Session 1
Hanjun Dai · Mengjiao Yang · Yuan Xue · Dale Schuurmans · Bo Dai
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
In Poster Session 1
Xiang Gao · Yuqi Zhang · Yingjie Tian
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
Region-Based Semantic Factorization in GANs
In Poster Session 1
Jiapeng Zhu · Yujun Shen · Yinghao Xu · Deli Zhao · Qifeng Chen
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
Online Continual Learning through Mutual Information Maximization
In Poster Session 1
Yiduo Guo · Bing Liu · Dongyan Zhao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Learning Iterative Reasoning through Energy Minimization
In Poster Session 1
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
In Poster Session 1
Yonggan Fu · Haichuan Yang · Jiayi Yuan · Meng Li · Cheng Wan · Raghuraman Krishnamoorthi · Vikas Chandra · Yingyan Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
PoF: Post-Training of Feature Extractor for Improving Generalization
In Poster Session 1
Ikuro Sato · Yamada Ryota · Masayuki Tanaka · Nakamasa Inoue · Rei Kawakami
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
In Poster Session 1
Giung Nam · Hyungi Lee · Byeongho Heo · Juho Lee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Set Based Stochastic Subsampling
In Poster Session 1
Bruno Andreis · Seanie Lee · A. Tuan Nguyen · Juho Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
In Poster Session 1
Tri Dao · Beidi Chen · Nimit Sohoni · Arjun Desai · Michael Poli · Jessica Grogan · Alexander Liu · Aniruddh Rao · Atri Rudra · Christopher Re
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Generalizing to New Physical Systems via Context-Informed Dynamics Model
In Poster Session 1
Matthieu Kirchmeyer · Yuan Yin · Jérémie DONA · Nicolas Baskiotis · alain rakotomamonjy · Patrick Gallinari
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Self-conditioning Pre-Trained Language Models
In Poster Session 1
Xavier Suau · Luca Zappella · Nicholas Apostoloff
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
In Poster Session 1
Jaeyun Song · Joonhyung Park · Eunho Yang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
In Poster Session 1
Jaehong Yoon · Geon Park · Wonyong Jeong · Sung Ju Hwang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
In Poster Session 1
Yang Zhao · Hao Zhang · Xiuyuan Hu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
In Poster Session 1
Rajarshi Das · Ameya Godbole · Ankita Rajaram Naik · Elliot Tower · Manzil Zaheer · Hannaneh Hajishirzi · Robin Jia · Andrew McCallum
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
In Poster Session 1
Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
pathGCN: Learning General Graph Spatial Operators from Paths
In Poster Session 1
Moshe Eliasof · Eldad Haber · Eran Treister
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
Graph-Coupled Oscillator Networks
In Poster Session 1
T. Konstantin Rusch · Ben Chamberlain · James Rowbottom · Siddhartha Mishra · Michael Bronstein
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
HousE: Knowledge Graph Embedding with Householder Parameterization
In Poster Session 1
Rui Li · Jianan Zhao · Chaozhuo Li · Di He · Yiqi Wang · Yuming Liu · Hao Sun · Senzhang Wang · Weiwei Deng · Yanming Shen · Xing Xie · Qi Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
In Poster Session 1
Siqi Miao · Mia Liu · Pan Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #408
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
In Poster Session 1
Jun Xia · Lirong Wu · Wang Ge · Jintao Chen · Stan Z. Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
In Poster Session 1
Mingjie Li · Xiaojun Guo · Yifei Wang · Yisen Wang · Zhouchen Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
SpeqNets: Sparsity-aware permutation-equivariant graph networks
In Poster Session 1
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
In Poster Session 1
Alexei Baevski · Wei-Ning Hsu · Qiantong Xu · Arun Babu · Jiatao Gu · Michael Auli
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Position Prediction as an Effective Pretraining Strategy
In Poster Session 1
Shuangfei Zhai · Navdeep Jaitly · Jason Ramapuram · Dan Busbridge · Tatiana Likhomanenko · Joseph Cheng · Walter Talbott · Chen Huang · Hanlin Goh · Joshua M Susskind
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
In Poster Session 1
Ekdeep Singh Lubana · Chi Ian Tang · Fahim Kawsar · Robert Dick · Akhil Mathur
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Deep and Flexible Graph Neural Architecture Search
In Poster Session 1
Wentao Zhang · Zheyu Lin · Yu Shen · Yang Li · Zhi Yang · Bin Cui
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #422
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
In Poster Session 1
Yixuan He · Quan Gan · David Wipf · Gesine Reinert · Junchi Yan · Mihai Cucuringu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Large-Scale Graph Neural Architecture Search
In Poster Session 1
Chaoyu Guan · Xin Wang · Hong Chen · Ziwei Zhang · Wenwu Zhu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Optimization-Induced Graph Implicit Nonlinear Diffusion
In Poster Session 1
Qi Chen · Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #428
Prototype Based Classification from Hierarchy to Fairness
In Poster Session 1
Mycal Tucker · Julie Shah
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
In Poster Session 1
Zhaocheng Zhu · Mikhail Galkin · Zuobai Zhang · Jian Tang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
Deep Probability Estimation
In Poster Session 1
Sheng Liu · Aakash Kaku · Weicheng Zhu · Matan Leibovich · Sreyas Mohan · Boyang Yu · Haoxiang Huang · Laure Zanna · Narges Razavian · Jonathan Niles-Weed · Carlos Fernandez-Granda
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #436
Uncertainty Modeling in Generative Compressed Sensing
In Poster Session 1
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #438
Going Deeper into Permutation-Sensitive Graph Neural Networks
In Poster Session 1
Zhongyu Huang · Yingheng Wang · Chaozhuo Li · Huiguang He
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Learning from Counterfactual Links for Link Prediction
In Poster Session 1
Tong Zhao · Gang Liu · Daheng Wang · Wenhao Yu · Meng Jiang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
In Poster Session 1
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
In Poster Session 1
Michael Zhang · Nimit Sohoni · Hongyang Zhang · Chelsea Finn · Christopher Re
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Principal Component Flows
In Poster Session 1
Edmond Cunningham · Adam Cobb · Susmit Jha
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Bit Prioritization in Variational Autoencoders via Progressive Coding
In Poster Session 1
Rui Shu · Stefano Ermon
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Generative Flow Networks for Discrete Probabilistic Modeling
In Poster Session 1
Dinghuai Zhang · Nikolay Malkin · Zhen Liu · Alexandra Volokhova · Aaron Courville · Yoshua Bengio
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Diffusion bridges vector quantized variational autoencoders
In Poster Session 1
Max Cohen · Guillaume QUISPE · Sylvain Le Corff · Charles Ollion · Eric Moulines
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
In Poster Session 1
Adrián Javaloy · Maryam Meghdadi · Isabel Valera
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
In Poster Session 1
Dongjun Kim · Seungjae Shin · Kyungwoo Song · Wanmo Kang · IL CHUL MOON
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
In Poster Session 1
Ruize Gao · Jiongxiao Wang · Kaiwen Zhou · Feng Liu · Binghui Xie · Gang Niu · Bo Han · James Cheng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
Modeling Irregular Time Series with Continuous Recurrent Units
In Poster Session 1
Mona Schirmer · Mazin Eltayeb · Stefan Lessmann · Maja Rudolph
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
TACTiS: Transformer-Attentional Copulas for Time Series
In Poster Session 1
Alexandre Drouin · Étienne Marcotte · Nicolas Chapados
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
CerDEQ: Certifiable Deep Equilibrium Model
In Poster Session 1
Mingjie Li · Yisen Wang · Zhouchen Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
In Poster Session 1
Rui Wang · Robin Walters · Rose Yu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
In Poster Session 1
Tian Gao · DEBARUN BHATTACHARJYA · Elliot Nelson · Miao Liu · Yue Yu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
In Poster Session 1
Zhongkai Hao · Chengyang Ying · Yinpeng Dong · Hang Su · Jian Song · Jun Zhu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
In Poster Session 1
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Improving Language Models by Retrieving from Trillions of Tokens
In Poster Session 1
Sebastian Borgeaud · Arthur Mensch · Jordan Hoffmann · Trevor Cai · Eliza Rutherford · Katie Millican · George van den Driessche · Jean-Baptiste Lespiau · Bogdan Damoc · Aidan Clark · Diego de Las Casas · Aurelia Guy · Jacob Menick · Roman Ring · Tom Hennigan · Saffron Huang · Loren Maggiore · Chris Jones · Albin Cassirer · Andy Brock · Michela Paganini · Geoffrey Irving · Oriol Vinyals · Simon Osindero · Karen Simonyan · Jack Rae · Erich Elsen · Laurent Sifre
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Closed-Form Diffeomorphic Transformations for Time Series Alignment
In Poster Session 1
Iñigo Martinez · Elisabeth Viles · Igor G. Olaizola
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Removing Batch Normalization Boosts Adversarial Training
In Poster Session 1
Haotao Wang · Aston Zhang · Shuai Zheng · Xingjian Shi · Mu Li · Zhangyang “Atlas” Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Forget-free Continual Learning with Winning Subnetworks
In Poster Session 1
Haeyong Kang · Rusty Mina · Sultan Rizky Hikmawan Madjid · Jaehong Yoon · Mark Hasegawa-Johnson · Sung Ju Hwang · Chang Yoo
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
In Poster Session 1
Tian Zhou · Ziqing MA · Qingsong Wen · Xue Wang · Liang Sun · rong jin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
In Poster Session 1
Francesco Croce · Matthias Hein
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
On the Practicality of Deterministic Epistemic Uncertainty
In Poster Session 1
Janis Postels · Mattia Segù · Tao Sun · Luca Daniel Sieber · Luc Van Gool · Fisher Yu · Federico Tombari
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
Combining Diverse Feature Priors
In Poster Session 1
Saachi Jain · Dimitris Tsipras · Aleksander Madry
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
Multi-Task Learning as a Bargaining Game
In Poster Session 1
Aviv Navon · Aviv Shamsian · Idan Achituve · Haggai Maron · Kenji Kawaguchi · Gal Chechik · Ethan Fetaya
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Frustratingly Easy Transferability Estimation
In Poster Session 1
Long-Kai Huang · Junzhou Huang · Yu Rong · Qiang Yang · Ying WEI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
In Poster Session 1
Tung Nguyen · Aditya Grover
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #516
A Difference Standardization Method for Mutual Transfer Learning
In Poster Session 1
Haoqing Xu · Meng Wang · Beilun Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
In Poster Session 1
Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
In Poster Session 1
Michinari Momma · Chaosheng Dong · Jia Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
Sparse Invariant Risk Minimization
In Poster Session 1
Xiao Zhou · Yong LIN · Weizhong Zhang · Tong Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
In Poster Session 1
Utku Evci · Vincent Dumoulin · Hugo Larochelle · Michael Mozer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
A Closer Look at Smoothness in Domain Adversarial Training
In Poster Session 1
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Arihant Jain · Venkatesh Babu Radhakrishnan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
In Poster Session 1
Jogendra Nath Kundu · Akshay Kulkarni · Suvaansh Bhambri · Deepesh Mehta · Shreyas Kulkarni · Varun Jampani · Venkatesh Babu Radhakrishnan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
In Poster Session 1
Xiao Zhou · Yong LIN · Renjie Pi · Weizhong Zhang · Renzhe Xu · Peng Cui · Tong Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Zero-shot AutoML with Pretrained Models
In Poster Session 1
Ekrem Öztürk · Fabio Ferreira · Hadi S Jomaa · Lars Schmidt-Thieme · Josif Grabocka · Frank Hutter
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Efficient Variance Reduction for Meta-learning
In Poster Session 1
Hansi Yang · James Kwok
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
In Poster Session 1
Tiexin QIN · Shiqi Wang · Haoliang Li
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Partial disentanglement for domain adaptation
In Poster Session 1
Lingjing Kong · Shaoan Xie · Weiran Yao · Yujia Zheng · Guangyi Chen · Petar Stojanov · Victor Akinwande · Kun Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
In Poster Session 1
Guillaume Braun · Hemant Tyagi · Christophe Biernacki
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
In Poster Session 1
Zhengfeng Lai · Chao Wang · Henrry Gunawan · Senching Cheung · Chen-Nee Chuah
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
In Poster Session 1
Lan-Zhe Guo · Yu-Feng Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
In Poster Session 1
Samuel Stanton · Wesley Maddox · Nate Gruver · Phillip Maffettone · Emily Delaney · Peyton Greenside · Andrew Wilson
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Meta-Learning Hypothesis Spaces for Sequential Decision-making
In Poster Session 1
Parnian Kassraie · Jonas Rothfuss · Andreas Krause
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
A Tighter Analysis of Spectral Clustering, and Beyond
In Poster Session 1
Peter Macgregor · He Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
Online Active Regression
In Poster Session 1
Cheng Chen · Yi Li · Yiming Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
In Poster Session 1
Qi Lyu · Xiao Fu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
In Poster Session 1
Ching-Yun (Irene) Ko · Jeet Mohapatra · Sijia Liu · Pin-Yu Chen · Luca Daniel · Lily Weng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
In Poster Session 1
Hongxin Wei · Lue Tao · RENCHUNZI XIE · LEI FENG · Bo An
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Confidence Score for Source-Free Unsupervised Domain Adaptation
In Poster Session 1
Jonghyun Lee · Dahuin Jung · Junho Yim · Sungroh Yoon
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
Gradient Based Clustering
In Poster Session 1
Aleksandar Armacki · Dragana Bajovic · Dusan Jakovetic · Soummya Kar
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Global Optimization of K-Center Clustering
In Poster Session 1
Mingfei Shi · Kaixun Hua · Jiayang Ren · Yankai Cao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
In Poster Session 1
Chen Qiu · Aodong Li · Marius Kloft · Maja Rudolph · Stephan Mandt
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
Coordinated Double Machine Learning
In Poster Session 1
Nitai Fingerhut · Matteo Sesia · Yaniv Romano
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Exploiting Independent Instruments: Identification and Distribution Generalization
In Poster Session 1
Sorawit Saengkyongam · Leonard Henckel · Niklas Pfister · Jonas Peters
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Partial Counterfactual Identification from Observational and Experimental Data
In Poster Session 1
Junzhe Zhang · Jin Tian · Elias Bareinboim
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
On Measuring Causal Contributions via do-interventions
In Poster Session 1
Yonghan Jung · Shiva Kasiviswanathan · Jin Tian · Dominik Janzing · Patrick Bloebaum · Elias Bareinboim
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
The Role of Deconfounding in Meta-learning
In Poster Session 1
Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
CITRIS: Causal Identifiability from Temporal Intervened Sequences
In Poster Session 1
Phillip Lippe · Sara Magliacane · Sindy Löwe · Yuki Asano · Taco Cohen · Stratis Gavves
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
Online Balanced Experimental Design
In Poster Session 1
David Arbour · Drew Dimmery · Tung Mai · Anup Rao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #604
Minimum Cost Intervention Design for Causal Effect Identification
In Poster Session 1
Sina Akbari · Jalal Etesami · Negar Kiyavash
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
Causal structure-based root cause analysis of outliers
In Poster Session 1
Kailash Budhathoki · Lenon Minorics · Patrick Bloebaum · Dominik Janzing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Instrumental Variable Regression with Confounder Balancing
In Poster Session 1
Anpeng Wu · Kun Kuang · Bo Li · Fei Wu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Causal Transformer for Estimating Counterfactual Outcomes
In Poster Session 1
Valentyn Melnychuk · Dennis Frauen · Stefan Feuerriegel
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Causal Inference Through the Structural Causal Marginal Problem
In Poster Session 1
Luigi Gresele · Julius von Kügelgen · Jonas Kübler · Elke Kirschbaum · Bernhard Schölkopf · Dominik Janzing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
In Poster Session 1
Heiner Kremer · Jia-Jie Zhu · Krikamol Muandet · Bernhard Schölkopf
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Matching Learned Causal Effects of Neural Networks with Domain Priors
In Poster Session 1
Sai Srinivas Kancheti · Gowtham Reddy Abbavaram · Vineeth N Balasubramanian · Amit Sharma
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
In Poster Session 1
Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
In Poster Session 1
Jisun Park · Ernest Ryu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
In Poster Session 1
Aaron Mishkin · Arda Sahiner · Mert Pilanci
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
NysADMM: faster composite convex optimization via low-rank approximation
In Poster Session 1
Shipu Zhao · Zachary Frangella · Madeleine Udell
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
In Poster Session 1
Anis Elgabli · Chaouki Ben Issaid · Amrit Singh Bedi · Ketan Rajawat · Mehdi Bennis · Vaneet Aggarwal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
In Poster Session 1
Arda Sahiner · Tolga Ergen · Batu M Ozturkler · John Pauly · Morteza Mardani · Mert Pilanci
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
In Poster Session 1
Kazuma Tsuji · Ken'ichiro Tanaka · Sebastian Pokutta
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
In Poster Session 1
Jaewook Suh · Gyumin Roh · Ernest Ryu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
In Poster Session 1
LEONARDO CUNHA · Gauthier Gidel · Fabian Pedregosa · Damien Scieur · Courtney Paquette
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
In Poster Session 1
Vladimir Kostic · Saverio Salzo · Massimiliano Pontil
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
In Poster Session 1
Baojian Zhou · Yifan Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
In Poster Session 1
Burak Bartan · Mert Pilanci
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
Active Sampling for Min-Max Fairness
In Poster Session 1
Jacob Abernethy · Pranjal Awasthi · Matthäus Kleindessner · Jamie Morgenstern · Chris Russell · Jie Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
In Poster Session 1
Sixing Yu · Arya Mazaheri · Ali Jannesari
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Stochastic Reweighted Gradient Descent
In Poster Session 1
Ayoub El Hanchi · David Stephens · Chris Maddison
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
In Poster Session 1
Qiujiang Jin · Alec Koppel · Ketan Rajawat · Aryan Mokhtari
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
In Poster Session 1
Anastasios Angelopoulos · Amit Pal Kohli · Stephen Bates · Michael Jordan · Jitendra Malik · Thayer Alshaabi · Srigokul Upadhyayula · Yaniv Romano
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
FedNL: Making Newton-Type Methods Applicable to Federated Learning
In Poster Session 1
Mher Safaryan · Rustem Islamov · Xun Qian · Peter Richtarik
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
In Poster Session 1
Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
In Poster Session 1
Dongruo Zhou · Quanquan Gu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
In Poster Session 1
Lucy Gao · Jane J. Ye · Haian Yin · Shangzhi Zeng · Jin Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
Probabilistic Bilevel Coreset Selection
In Poster Session 1
Xiao Zhou · Renjie Pi · Weizhong Zhang · Yong LIN · Zonghao Chen · Tong Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
In Poster Session 1
Meyer Scetbon · Gabriel Peyré · Marco Cuturi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
On Implicit Bias in Overparameterized Bilevel Optimization
In Poster Session 1
Paul Vicol · Jonathan Lorraine · Fabian Pedregosa · David Duvenaud · Roger Grosse
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
In Poster Session 1
Jingzhao Zhang · Haochuan Li · Suvrit Sra · Ali Jadbabaie
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
In Poster Session 1
Peng Wang · Huikang Liu · Anthony Man-Cho So · Laura Balzano
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
In Poster Session 1
Huan Li · Zhouchen Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Understanding the unstable convergence of gradient descent
In Poster Session 1
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
In Poster Session 1
PRANAY SHARMA · Rohan Panda · Gauri Joshi · Pramod K Varshney
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
In Poster Session 1
Pini Zilber · Boaz Nadler
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
In Poster Session 1
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
AdaGrad Avoids Saddle Points
In Poster Session 1
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Fast and Provable Nonconvex Tensor RPCA
In Poster Session 1
Haiquan Qiu · Yao Wang · Shaojie Tang · Deyu Meng · QUANMING YAO
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
In Poster Session 1
Haochuan Li · Farzan Farnia · Subhro Das · Ali Jadbabaie
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
In Poster Session 1
Kevin Scaman · Cedric Malherbe · Ludovic DOS SANTOS
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
In Poster Session 1
Songtao Lu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
Anticorrelated Noise Injection for Improved Generalization
In Poster Session 1
Antonio Orvieto · Hans Kersting · Frank Proske · Francis Bach · Aurelien Lucchi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Tackling covariate shift with node-based Bayesian neural networks
In Poster Session 1
Trung Trinh · Markus Heinonen · Luigi Acerbi · Samuel Kaski
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
Why the Rich Get Richer? On the Balancedness of Random Partition Models
In Poster Session 1
Changwoo Lee · Huiyan Sang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
In Poster Session 1
Chau Tran · Guo Yu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
In Poster Session 1
Lukas Köhs · Bastian Alt · Heinz Koeppl
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Calibrated Learning to Defer with One-vs-All Classifiers
In Poster Session 1
Rajeev Verma · Eric Nalisnick
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
Tractable Uncertainty for Structure Learning
In Poster Session 1
Benjie Wang · Matthew Wicker · Marta Kwiatkowska
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Path-Gradient Estimators for Continuous Normalizing Flows
In Poster Session 1
Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Variational Feature Pyramid Networks
In Poster Session 1
PANAGIOTIS DIMITRAKOPOULOS · Giorgos Sfikas · CHRISTOPHOROS NIKOU
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Additive Gaussian Processes Revisited
In Poster Session 1
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Probabilistic ODE Solutions in Millions of Dimensions
In Poster Session 1
Nicholas Krämer · Nathanael Bosch · Jonathan Schmidt · Philipp Hennig
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
Adaptive Gaussian Process Change Point Detection
In Poster Session 1
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
In Poster Session 1
Gregory Benton · Wesley Maddox · Andrew Wilson
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Fenrir: Physics-Enhanced Regression for Initial Value Problems
In Poster Session 1
Filip Tronarp · Nathanael Bosch · Philipp Hennig
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Variational nearest neighbor Gaussian process
In Poster Session 1
Luhuan Wu · Geoff Pleiss · John Cunningham
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
In Poster Session 1
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
In Poster Session 1
Jixiang Qing · Tom Dhaene · Ivo Couckuyt
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Bayesian Optimization under Stochastic Delayed Feedback
In Poster Session 1
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
In Poster Session 1
Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
In Poster Session 1
Sebastian Tay · Chuan Sheng Foo · Urano Daisuke · Richalynn Leong · Bryan Kian Hsiang Low
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
In Poster Session 1
Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
In Poster Session 1
Sebastian Ament · Carla Gomes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #723
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
In Poster Session 1
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
In Poster Session 1
Lorenz Richter · Julius Berner
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
In Poster Session 1
Ruilin Li · Hongyuan Zha · Molei Tao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
LSB: Local Self-Balancing MCMC in Discrete Spaces
In Poster Session 1
EMANUELE SANSONE
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
A Langevin-like Sampler for Discrete Distributions
In Poster Session 1
Ruqi Zhang · Xingchao Liu · Qiang Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #713
Scalable Spike-and-Slab
In Poster Session 1
Niloy Biswas · Lester Mackey · Xiao-Li Meng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Nonparametric Involutive Markov Chain Monte Carlo
In Poster Session 1
Carol Mak · Fabian Zaiser · Luke Ong
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #709
Continual Repeated Annealed Flow Transport Monte Carlo
In Poster Session 1
Alexander Matthews · Michael Arbel · Danilo J. Rezende · Arnaud Doucet
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Algorithms for the Communication of Samples
In Poster Session 1
Lucas Theis · Nour Ahmed
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Low-Precision Stochastic Gradient Langevin Dynamics
In Poster Session 1
Ruqi Zhang · Andrew Wilson · Christopher De Sa
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Fast Relative Entropy Coding with A* coding
In Poster Session 1
Gergely Flamich · Stratis Markou · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Accurate Quantization of Measures via Interacting Particle-based Optimization
In Poster Session 1
Lantian Xu · Anna Korba · Dejan Slepcev
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Dynamic Regret of Online Markov Decision Processes
In Poster Session 1
Peng Zhao · Long-Fei Li · Zhi-Hua Zhou
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
In Poster Session 1
Robert Loftin · Frans Oliehoek
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
In Poster Session 1
Harley Wiltzer · David Meger · Marc Bellemare
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Provable Reinforcement Learning with a Short-Term Memory
In Poster Session 1
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
In Poster Session 1
Lucas N. Alegre · Ana Lucia Cetertich Bazzan · Bruno C. da Silva
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Mirror Learning: A Unifying Framework of Policy Optimisation
In Poster Session 1
Jakub Grudzien Kuba · Christian Schroeder de Witt · Jakob Foerster
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
In Poster Session 1
Liyu Chen · Rahul Jain · Haipeng Luo
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
In Poster Session 1
Liyu Chen · Rahul Jain · Haipeng Luo
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
In Poster Session 1
Archit Sharma · Rehaan Ahmad · Chelsea Finn
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Langevin Monte Carlo for Contextual Bandits
In Poster Session 1
Pan Xu · Hongkai Zheng · Eric Mazumdar · Kamyar Azizzadenesheli · Animashree Anandkumar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Prompting Decision Transformer for Few-Shot Policy Generalization
In Poster Session 1
Mengdi Xu · Yikang Shen · Shun Zhang · Yuchen Lu · Ding Zhao · Josh Tenenbaum · Chuang Gan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #822
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
In Poster Session 1
Shuang Qiu · Lingxiao Wang · Chenjia Bai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #824
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
In Poster Session 1
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
In Poster Session 1
Vihang Patil · Markus Hofmarcher · Marius-Constantin Dinu · Matthias Dorfer · Patrick Blies · Johannes Brandstetter · Jose A. Arjona-Medina · Sepp Hochreiter
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
In Poster Session 1
Brandon Trabucco · mariano phielipp · Glen Berseth
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
In Poster Session 1
Fei Deng · Ingook Jang · Sungjin Ahn
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
In Poster Session 1
Edoardo Cetin · Philip Ball · Stephen Roberts · Oya Celiktutan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
In Poster Session 1
Miguel Suau · Jinke He · Matthijs T. J. Spaan · Frans Oliehoek
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
In Poster Session 1
Yao Mu · Shoufa Chen · Mingyu Ding · Jianyu Chen · Runjian Chen · Ping Luo
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Offline RL Policies Should Be Trained to be Adaptive
In Poster Session 1
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
In Poster Session 1
Katie Kang · Paula Gradu · Jason Choi · Michael Janner · Claire Tomlin · Sergey Levine
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
In Poster Session 1
Pengyi Li · Hongyao Tang · Tianpei Yang · Xiaotian Hao · Tong Sang · Yan Zheng · Jianye Hao · Matthew Taylor · Wenyuan Tao · Zhen Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Supervised Off-Policy Ranking
In Poster Session 1
Yue Jin · Yue Zhang · Tao Qin · Xudong Zhang · Jian Yuan · Houqiang Li · Tie-Yan Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
The Primacy Bias in Deep Reinforcement Learning
In Poster Session 1
Evgenii Nikishin · Max Schwarzer · Pierluca D'Oro · Pierre-Luc Bacon · Aaron Courville
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
In Poster Session 1
Shentao Yang · Yihao Feng · Shujian Zhang · Mingyuan Zhou
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Model-Free Opponent Shaping
In Poster Session 1
Christopher Lu · Timon Willi · Christian Schroeder de Witt · Jakob Foerster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
In Poster Session 1
Boxiang Lyu · Zhaoran Wang · Mladen Kolar · Zhuoran Yang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
In Poster Session 1
Pier Giuseppe Sessa · Maryam Kamgarpour · Andreas Krause
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
In Poster Session 1
Kyunghwan Son · Junsu Kim · Sungsoo Ahn · Roben Delos Reyes · Yung Yi · Jinwoo Shin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
In Poster Session 1
Mathieu Lauriere · Sarah Perrin · Sertan Girgin · Paul Muller · Ayush Jain · Theophile Cabannes · Georgios Piliouras · Julien Perolat · Romuald Elie · Olivier Pietquin · Matthieu Geist
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
In Poster Session 1
Wei Fu · Chao Yu · Zelai Xu · Jiaqi Yang · Yi Wu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
In Poster Session 1
Dongsheng Ding · Chen-Yu Wei · Kaiqing Zhang · Mihailo Jovanovic
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Self-Organized Polynomial-Time Coordination Graphs
In Poster Session 1
Qianlan Yang · Weijun Dong · Zhizhou Ren · Jianhao Wang · Tonghan Wang · Chongjie Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Individual Reward Assisted Multi-Agent Reinforcement Learning
In Poster Session 1
Li Wang · Yupeng Zhang · Yujing Hu · Weixun Wang · Chongjie Zhang · Yang Gao · Jianye Hao · Tangjie Lv · Changjie Fan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
Generalized Beliefs for Cooperative AI
In Poster Session 1
Darius Muglich · Luisa Zintgraf · Christian Schroeder de Witt · Shimon Whiteson · Jakob Foerster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #805
Greedy when Sure and Conservative when Uncertain about the Opponents
In Poster Session 1
Haobo Fu · Ye Tian · Hongxiang Yu · Weiming Liu · Shuang Wu · Jiechao Xiong · Ying Wen · Kai Li · Junliang Xing · Qiang Fu · Wei Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
In Poster Session 1
Jiahui Li · Kun Kuang · Baoxiang Wang · Furui Liu · Long Chen · Changjie Fan · Fei Wu · Jun Xiao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
In Poster Session 1
ZHIHAN LIU · Lu Miao · Zhaoran Wang · Michael Jordan · Zhuoran Yang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
In Poster Session 1
Siqi Liu · Marc Lanctot · Luke Marris · Nicolas Heess
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
In Poster Session 1
Ziyi Chen · Yi Zhou · Rong-Rong Chen · Shaofeng Zou
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Differentially Private Approximate Quantiles
In Poster Session 1
Haim Kaplan · Shachar Schnapp · Uri Stemmer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
In Poster Session 1
Xueru Zhang · Mahdi Khalili · Kun Jin · Parinaz Naghizadeh · Mingyan Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Robust Models Are More Interpretable Because Attributions Look Normal
In Poster Session 1
Zifan Wang · Matt Fredrikson · Anupam Datta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
In Poster Session 1
Sooyong Jang · Sangdon Park · Insup Lee · Osbert Bastani
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
A Joint Exponential Mechanism For Differentially Private Top-$k$
In Poster Session 1
Jennifer Gillenwater · Matthew Joseph · andres munoz · Monica Ribero Diaz
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Transfer Learning In Differential Privacy's Hybrid-Model
In Poster Session 1
Refael Kohen · Or Sheffet
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Robust Kernel Density Estimation with Median-of-Means principle
In Poster Session 1
Pierre Humbert · Batiste Le Bars · Ludovic Minvielle
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Bounding Training Data Reconstruction in Private (Deep) Learning
In Poster Session 1
Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
In Poster Session 1
Lukas Struppek · Dominik Hintersdorf · Antonio De Almeida Correia · Antonia Adler · Kristian Kersting
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #922
FriendlyCore: Practical Differentially Private Aggregation
In Poster Session 1
Eliad Tsfadia · Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
In Poster Session 1
Sangwon Kim · Jaeyeal Nam · Byoung Chul Ko
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
In Poster Session 1
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
Public Data-Assisted Mirror Descent for Private Model Training
In Poster Session 1
Ehsan Amid · Arun Ganesh · Rajiv Mathews · Swaroop Ramaswamy · Shuang Song · Thomas Steinke · Thomas Steinke · Vinith Suriyakumar · Om Thakkar · Abhradeep Guha Thakurta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
In Poster Session 1
Eunsang Lee · Joon-Woo Lee · Junghyun Lee · Young-Sik KIM · Yongjune Kim · Jong-Seon No · Woosuk Choi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
In Poster Session 1
Georgi Ganev · Bristena Oprisanu · Emiliano De Cristofaro
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #934
Meaningfully debugging model mistakes using conceptual counterfactual explanations
In Poster Session 1
Abubakar Abid · Mert Yuksekgonul · James Zou
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
In Poster Session 1
Jinkun Lin · Anqi Zhang · Mathias Lécuyer · Jinyang Li · Aurojit Panda · Siddhartha Sen
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Robust Counterfactual Explanations for Tree-Based Ensembles
In Poster Session 1
Sanghamitra Dutta · Jason Long · Saumitra Mishra · Cecilia Tilli · Daniele Magazzeni
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
In Poster Session 1
Daniel Lundstrom · Tianjian Huang · Meisam Razaviyayn
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
In Poster Session 1
Micah Carroll · Anca Dragan · Stuart Russell · Dylan Hadfield-Menell
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Framework for Evaluating Faithfulness of Local Explanations
In Poster Session 1
Sanjoy Dasgupta · Nave Frost · Michal Moshkovitz
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
A Consistent and Efficient Evaluation Strategy for Attribution Methods
In Poster Session 1
Yao Rong · Tobias Leemann · Vadim Borisov · Gjergji Kasneci · Enkelejda Kasneci
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
In Poster Session 1
Stephan Wäldchen · Sebastian Pokutta · Felix Huber
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
In Poster Session 1
Michael Hedderich · Jonas Fischer · Dietrich Klakow · Jilles Vreeken
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
XAI for Transformers: Better Explanations through Conservative Propagation
In Poster Session 1
Ameen Ali · Thomas Schnake · Oliver Eberle · Grégoire Montavon · Klaus-robert Mueller · Lior Wolf
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
In Poster Session 1
Haotian Ma · Hao Zhang · Fan Zhou · Yinqing Zhang · Quanshi Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
Interpretable Off-Policy Learning via Hyperbox Search
In Poster Session 1
Daniel Tschernutter · Tobias Hatt · Stefan Feuerriegel
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
In Poster Session 1
Yaojie Hu · Jin Tian
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
On the Adversarial Robustness of Causal Algorithmic Recourse
In Poster Session 1
Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
In Poster Session 1
Bodhisattwa Prasad Majumder · Oana-Maria Camburu · Thomas Lukasiewicz · Julian McAuley
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
POEM: Out-of-Distribution Detection with Posterior Sampling
In Poster Session 1
Yifei Ming · Ying Fan · Yixuan Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Selective Network Linearization for Efficient Private Inference
In Poster Session 1
Minsu Cho · Ameya Joshi · Brandon Reagen · Siddharth Garg · Chinmay Hegde
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
In Poster Session 1
Ping Xiong · Thomas Schnake · Grégoire Montavon · Klaus-robert Mueller · Shinichi Nakajima
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
In Poster Session 1
Renzhe Xu · Xingxuan Zhang · Zheyan Shen · Tong Zhang · Peng Cui
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Modular Conformal Calibration
In Poster Session 1
Charles Marx · Shengjia Zhao · Willie Neiswanger · Stefano Ermon
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
In Poster Session 1
Yue Gao · Ilia Shumailov · Kassem Fawaz
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Context-Aware Drift Detection
In Poster Session 1
Oliver Cobb · Arnaud Van Looveren
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Accelerating Shapley Explanation via Contributive Cooperator Selection
In Poster Session 1
Guanchu Wang · Yu-Neng Chuang · Mengnan Du · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
In Poster Session 1
Sadegh Farhadkhani · Rachid Guerraoui · Lê-Nguyên Hoang · Oscar Villemaud
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
In Poster Session 1
Zhaoxuan Wu · Yao Shu · Bryan Kian Hsiang Low
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Sample Efficient Learning of Predictors that Complement Humans
In Poster Session 1
Mohammad-Amin Charusaie · Hussein Mozannar · David Sontag · Samira Samadi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
Online Learning for Min Sum Set Cover and Pandora’s Box
In Poster Session 1
Evangelia Gergatsouli · Christos Tzamos
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
In Poster Session 1
Vidyashankar Sivakumar · Shiliang Zuo · Arindam Banerjee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
In Poster Session 1
Fang Kong · Yichi Zhou · Shuai Li
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
Thompson Sampling for (Combinatorial) Pure Exploration
In Poster Session 1
Siwei Wang · Jun Zhu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
In Poster Session 1
Shinji Ito
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
Rotting Infinitely Many-Armed Bandits
In Poster Session 1
Jung-hun Kim · Milan Vojnovic · Se-Young Yun
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1015
Batched Dueling Bandits
In Poster Session 1
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1013
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
In Poster Session 1
Weiming Liu · Huacong Jiang · Bin Li · Houqiang Li
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Consistent Polyhedral Surrogates for Top-k Classification and Variants
In Poster Session 1
Anish Thilagar · Rafael Frongillo · Jessie Finocchiaro · Emma Goodwill
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
In Poster Session 1
Viktor Bengs · Aadirupa Saha · Eyke Hüllermeier
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
In Poster Session 1
Aadirupa Saha · Shubham Gupta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
In Poster Session 1
Tianyi Lin · Aldo Pacchiano · Yaodong Yu · Michael Jordan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Learning Mixtures of Linear Dynamical Systems
In Poster Session 1
Yanxi Chen · H. Vincent Poor
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
In Poster Session 1
Vincent Cohen-Addad · Vahab Mirrokni · Peilin Zhong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
Residual-Based Sampling for Online Outlier-Robust PCA
In Poster Session 1
Tianhao Zhu · Jie Shen
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
In Poster Session 1
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1112
Streaming Algorithms for Support-Aware Histograms
In Poster Session 1
Justin Chen · Piotr Indyk · Tal Wagner
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
Power-Law Escape Rate of SGD
In Poster Session 1
Takashi Mori · Liu Ziyin · Kangqiao Liu · Masahito Ueda
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
In Poster Session 1
Heejong Bong · Alessandro Rinaldo
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Faster Algorithms for Learning Convex Functions
In Poster Session 1
Ali Siahkamari · Durmus Alp Emre Acar · Christopher Liao · Kelly Geyer · Venkatesh Saligrama · Brian Kulis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Feature selection using e-values
In Poster Session 1
Subhabrata Majumdar · Snigdhansu Chatterjee
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
ActiveHedge: Hedge meets Active Learning
In Poster Session 1
Bhuvesh Kumar · Jacob Abernethy · Venkatesh Saligrama
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
In Poster Session 1
Aravind Reddy · Ryan A. Rossi · Zhao Song · Anup Rao · Tung Mai · Nedim Lipka · Gang Wu · Eunyee Koh · Nesreen K Ahmed
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
In Poster Session 1
Malik TIOMOKO · Ekkehard Schnoor · Mohamed El Amine Seddik · Igor Colin · Aladin Virmaux
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robustness Implies Generalization via Data-Dependent Generalization Bounds
In Poster Session 1
Kenji Kawaguchi · Zhun Deng · Kyle Luh · Jiaoyang Huang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Learning to Hash Robustly, Guaranteed
In Poster Session 1
Alexandr Andoni · Daniel Beaglehole
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
Policy Gradient Method For Robust Reinforcement Learning
In Poster Session 1
Yue Wang · Shaofeng Zou
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
A query-optimal algorithm for finding counterfactuals
In Poster Session 1
Guy Blanc · Caleb Koch · Jane Lange · Li-Yang Tan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Linear Bandit Algorithms with Sublinear Time Complexity
In Poster Session 1
Shuo Yang · Tongzheng Ren · Sanjay Shakkottai · Eric Price · Inderjit Dhillon · Sujay Sanghavi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
In Poster Session 1
Nadiia Chepurko · Kenneth Clarkson · Lior Horesh · Honghao Lin · David Woodruff
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Individual Preference Stability for Clustering
In Poster Session 1
Saba Ahmadi · Pranjal Awasthi · Samir Khuller · Matthäus Kleindessner · Jamie Morgenstern · Pattara Sukprasert · Ali Vakilian
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Correlated Quantization for Distributed Mean Estimation and Optimization
In Poster Session 1
Ananda Suresh · Ziteng Sun · Jae Ro · Felix Xinnan Yu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
In Poster Session 1
Xuchuang Wang · Hong Xie · John C. S. Lui
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
In Poster Session 1
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
The Algebraic Path Problem for Graph Metrics
In Poster Session 1
Enrique Fita Sanmartín · Sebastian Damrich · Fred Hamprecht
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #1103
Steerable 3D Spherical Neurons
In Poster Session 1
Pavlo Melnyk · Michael Felsberg · Mårten Wadenbäck
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
H-Consistency Bounds for Surrogate Loss Minimizers
In Poster Session 1
Pranjal Awasthi · Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1208
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
In Poster Session 1
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
The Teaching Dimension of Regularized Kernel Learners
In Poster Session 1
Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
In Poster Session 1
Adarsh Barik · Jean Honorio
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
In Poster Session 1
Yi Hao · Ayush Jain · Alon Orlitsky · Vaishakh Ravindrakumar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
Multiclass learning with margin: exponential rates with no bias-variance trade-off
In Poster Session 1
Stefano Vigogna · Giacomo Meanti · Ernesto De Vito · Lorenzo Rosasco
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
In Poster Session 1
Tudor Manole · Nhat Ho
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
In Poster Session 1
Shaojie Li · Yong Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
In Poster Session 1
Emmanuel Abbe · Elisabetta Cornacchia · Jan Hazla · Christopher Marquis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Inductive Biases and Variable Creation in Self-Attention Mechanisms
In Poster Session 1
Benjamin Edelman · Surbhi Goel · Sham Kakade · Cyril Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Topology-aware Generalization of Decentralized SGD
In Poster Session 1
Tongtian Zhu · Fengxiang He · Lan Zhang · Zhengyang Niu · Mingli Song · Dacheng Tao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Understanding Gradient Descent on the Edge of Stability in Deep Learning
In Poster Session 1
Sanjeev Arora · Zhiyuan Li · Abhishek Panigrahi
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Cooperative Online Learning in Stochastic and Adversarial MDPs
In Poster Session 1
Tal Lancewicki · Aviv Rosenberg · Yishay Mansour
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Simple and near-optimal algorithms for hidden stratification and multi-group learning
In Poster Session 1
Christopher Tosh · Daniel Hsu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Being Properly Improper
In Poster Session 1
Tyler Sypherd · Richard Nock · Lalitha Sankar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
In Poster Session 1
Franco Pellegrini · Giulio Biroli
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
In Poster Session 1
Lai Tian · Kaiwen Zhou · Anthony Man-Cho So
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
In Poster Session 1
Tianhao Wu · Yunchang Yang · Han Zhong · Liwei Wang · Simon Du · Jiantao Jiao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
In Poster Session 1
Yinglun Zhu · Paul Mineiro
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
Minimax M-estimation under Adversarial Contamination
In Poster Session 1
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
In Poster Session 1
Jiatai Huang · Yan Dai · Longbo Huang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
In Poster Session 1
Daniel Rosenkrantz · Abhijin Adiga · Madhav Marathe · Zirou Qiu · S. S. Ravi · Richard Stearns · Anil Vullikanti
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Boosting Graph Structure Learning with Dummy Nodes
In Poster Session 1
Xin Liu · Jiayang Cheng · Yangqiu Song · Xin Jiang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Lazy Estimation of Variable Importance for Large Neural Networks
In Poster Session 1
Yue Gao · Abby Stevens · Garvesh Raskutti · Rebecca Willett
Session
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E
Poster Session 1
Break
Wed Jul 20 03:30 AM -- 03:45 AM (PDT) None
Breakfast on your own
Invited Talk
Wed Jul 20 06:00 AM -- 07:00 AM (PDT) @ Hall F None
Solving the Right Problems: Making ML Models Relevant to Healthcare and the Life Sciences
Regina Barzilay
Coffee Break
Wed Jul 20 07:00 AM -- 07:30 AM (PDT)
Coffee Break
Oral
Wed Jul 20 07:30 AM -- 07:50 AM (PDT) @ Room 301 - 303
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
In PM: Variational Inference/Bayesian Models and Methods
Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
Oral
Wed Jul 20 07:30 AM -- 07:50 AM (PDT) @ Room 327 - 329
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
In OPT: First Order
Ron Dorfman · Kfir Levy
Oral
Wed Jul 20 07:30 AM -- 07:50 AM (PDT) @ Room 310
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
In T: Game Theory/RL/Planning
Chengchun Shi · Masatoshi Uehara · Jiawei Huang · Nan Jiang
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2 None
Deep Learning
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4 None
MISC: General Machine Learning Techniques
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Hall F None
T: Learning Theory/Domain Adaptation
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Hall G None
Applications
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 301 - 303 None
PM: Variational Inference/Bayesian Models and Methods
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 307 None
Reinforcement Learning: Deep RL
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 309 None
DL: Theory
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 318 - 320 None
Social Aspects/MISC
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 327 - 329 None
OPT: First Order
Session
Wed Jul 20 07:30 AM -- 09:00 AM (PDT) @ Room 310 None
T: Game Theory/RL/Planning
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Ballroom 3 & 4
Weisfeiler-Lehman Meets Gromov-Wasserstein
In MISC: General Machine Learning Techniques
Samantha Chen · Sunhyuk Lim · Facundo Memoli · Zhengchao Wan · Yusu Wang
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 309
On Numerical Integration in Neural Ordinary Differential Equations
In DL: Theory
Aiqing Zhu · Pengzhan Jin · Beibei Zhu · Yifa Tang
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 307
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
In Reinforcement Learning: Deep RL
Athul Paul Jacob · David Wu · Gabriele Farina · Adam Lerer · Hengyuan Hu · Anton Bakhtin · Jacob Andreas · Noam Brown
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Towards understanding how momentum improves generalization in deep learning
In Deep Learning
Samy Jelassi · Yuanzhi Li
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
In Social Aspects/MISC
Jan Macdonald · Mathieu Besançon · Sebastian Pokutta
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Hall F
Learning Domain Adaptive Object Detection with Probabilistic Teacher
In T: Learning Theory/Domain Adaptation
Meilin Chen · Weijie Chen · Shicai Yang · Jie Song · Xinchao Wang · Lei Zhang · Yunfeng Yan · Donglian Qi · Yueting Zhuang · Di Xie · Shiliang Pu
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Hall G
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
In Applications
Peter J. Bevan · Amir Atapour-Abarghouei
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Hall F
Adaptive Data Analysis with Correlated Observations
In T: Learning Theory/Domain Adaptation
Aryeh Kontorovich · Menachem Sadigurschi · Uri Stemmer
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Ballroom 3 & 4
GenLabel: Mixup Relabeling using Generative Models
In MISC: General Machine Learning Techniques
Jy yong Sohn · Liang Shang · Hongxu Chen · Jaekyun Moon · Dimitris Papailiopoulos · Kangwook Lee
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Hall G
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
In Applications
Benjamin Coleman · Benito Geordie · Li Chou · R. A. Leo Elworth · Todd Treangen · Anshumali Shrivastava
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Label-Free Explainability for Unsupervised Models
In Social Aspects/MISC
Jonathan Crabbé · Mihaela van der Schaar
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 309
Reverse Engineering the Neural Tangent Kernel
In DL: Theory
James B Simon · Sajant Anand · Michael R DeWeese
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 307
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
In Reinforcement Learning: Deep RL
Vladislav Kurenkov · Sergey Kolesnikov
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
In Deep Learning
Tiffany Vlaar · Jonathan Frankle
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Hall F
Efficient PAC Learning from the Crowd with Pairwise Comparisons
In T: Learning Theory/Domain Adaptation
Shiwei Zeng · Jie Shen
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Hall G
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
In Applications
Jing Lin · Xiaowan Hu · Yuanhao Cai · Haoqian Wang · Youliang Yan · Xueyi Zou · Yulun Zhang · Luc Van Gool
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
In Social Aspects/MISC
Jie Ren · Mingjie Li · Meng Zhou · Shih-Han Chan · Quanshi Zhang
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 309
Principled Knowledge Extrapolation with GANs
In DL: Theory
Ruili Feng · Jie Xiao · Kecheng Zheng · Deli Zhao · Jingren Zhou · Qibin Sun · Zheng-Jun Zha
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 307
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
In Reinforcement Learning: Deep RL
Yunfei Li · Tian Gao · Jiaqi Yang · Huazhe Xu · Yi Wu
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Ballroom 3 & 4
When and How Mixup Improves Calibration
In MISC: General Machine Learning Techniques
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · James Zou
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Deep equilibrium networks are sensitive to initialization statistics
In Deep Learning
Atish Agarwala · Samuel Schoenholz
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 307
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
In Reinforcement Learning: Deep RL
Qi Wang · Herke van Hoof
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 309
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
In DL: Theory
Jianyi Yang · Shaolei Ren
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Study of Face Obfuscation in ImageNet
In Social Aspects/MISC
Kaiyu Yang · Jacqueline Yau · Li Fei-Fei · Jia Deng · Olga Russakovsky
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
In Deep Learning
Jiahao Su · Wonmin Byeon · Furong Huang
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Hall F
On the Statistical Benefits of Curriculum Learning
In T: Learning Theory/Domain Adaptation
Ziping Xu · Ambuj Tewari
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Ballroom 3 & 4
On Transportation of Mini-batches: A Hierarchical Approach
In MISC: General Machine Learning Techniques
Khai Nguyen · Dang Nguyen · Quoc Nguyen · Tung Pham · Hung Bui · Dinh Phung · Trung Le · Nhat Ho
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Hall G
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
In Applications
Jintai Chen · KuanLun Liao · Kun Wei · Haochao Ying · Danny Z Chen · Jian Wu
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
Surrogate Likelihoods for Variational Annealed Importance Sampling
In PM: Variational Inference/Bayesian Models and Methods
Martin Jankowiak · Du Phan
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 310
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
In T: Game Theory/RL/Planning
Chi Jin · Qinghua Liu · Tiancheng Yu
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
Fast Composite Optimization and Statistical Recovery in Federated Learning
In OPT: First Order
Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
Fair Representation Learning through Implicit Path Alignment
In Social Aspects/MISC
Changjian Shui · Qi CHEN · Jiaqi Li · Boyu Wang · Christian Gagne
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Hall G
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
In Applications
Yichen Gu · DAVID BLAAUW · Joshua Welch
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
In MISC: General Machine Learning Techniques
Randy Ardywibowo · Zepeng Huo · Zhangyang “Atlas” Wang · Bobak Mortazavi · Shuai Huang · Xiaoning Qian
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 309
Data Augmentation as Feature Manipulation
In DL: Theory
Ruoqi Shen · Sebastien Bubeck · Suriya Gunasekar
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 307
Generalized Data Distribution Iteration
In Reinforcement Learning: Deep RL
Jiajun Fan · Changnan Xiao
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Hall F
Feature and Parameter Selection in Stochastic Linear Bandits
In T: Learning Theory/Domain Adaptation
Ahmadreza Moradipari · Berkay Turan · Yasin Abbasi-Yadkori · Mahnoosh Alizadeh · Mohammad Ghavamzadeh
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
In Deep Learning
Arindam Banerjee · Tiancong Chen · Xinyan Li · Yingxue Zhou
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 310
Extracting Latent State Representations with Linear Dynamics from Rich Observations
In T: Game Theory/RL/Planning
Abraham Frandsen · Rong Ge · Holden Lee
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
In OPT: First Order
Jingzhao Zhang · Hongzhou Lin · Subhro Das · Suvrit Sra · Ali Jadbabaie
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
In PM: Variational Inference/Bayesian Models and Methods
Conor Tillinghast · Zheng Wang · Shandian Zhe
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
In MISC: General Machine Learning Techniques
Zhaowei Zhu · Jialu Wang · Yang Liu
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Hall F
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
In T: Learning Theory/Domain Adaptation
Zhengquan Luo · Yunlong Wang · Zilei Wang · Zhenan Sun · Tieniu Tan
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
Local Augmentation for Graph Neural Networks
In Deep Learning
Songtao Liu · Rex (Zhitao) Ying · Hanze Dong · Lanqing Li · Tingyang Xu · Yu Rong · Peilin Zhao · Junzhou Huang · Dinghao Wu
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Hall G
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In Applications
Yuqing Du · Daniel Ho · Alexander Alemi · Eric Jang · Mohi Khansari
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 307
Optimizing Tensor Network Contraction Using Reinforcement Learning
In Reinforcement Learning: Deep RL
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 309
Convolutional and Residual Networks Provably Contain Lottery Tickets
In DL: Theory
Rebekka Burkholz
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
Mitigating Neural Network Overconfidence with Logit Normalization
In Social Aspects/MISC
Hongxin Wei · RENCHUNZI XIE · Hao Cheng · LEI FENG · Bo An · Yixuan Li
Oral
Wed Jul 20 08:00 AM -- 08:20 AM (PDT) @ Hall F
A new similarity measure for covariate shift with applications to nonparametric regression
In T: Learning Theory/Domain Adaptation
Reese Pathak · Cong Ma · Martin Wainwright
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 310
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
In T: Game Theory/RL/Planning
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 327 - 329
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
In OPT: First Order
Alberto Bietti · Chen-Yu Wei · Miroslav Dudik · John Langford · Steven Wu
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 301 - 303
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
In PM: Variational Inference/Bayesian Models and Methods
Feynman Liang · Michael Mahoney · Liam Hodgkinson
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
In MISC: General Machine Learning Techniques
Yiting Cao · Chao Lan
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Hall G
De novo mass spectrometry peptide sequencing with a transformer model
In Applications
Melih Yilmaz · William Fondrie · Wout Bittremieux · Sewoong Oh · William Noble
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Ballroom 1 & 2
On Non-local Convergence Analysis of Deep Linear Networks
In Deep Learning
Kun Chen · Dachao Lin · Zhihua Zhang
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 318 - 320
Learning fair representation with a parametric integral probability metric
In Social Aspects/MISC
Dongha Kim · Kunwoong Kim · Insung Kong · Ilsang Ohn · Yongdai Kim
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 307
History Compression via Language Models in Reinforcement Learning
In Reinforcement Learning: Deep RL
Fabian Paischer · Thomas Adler · Vihang Patil · Angela Bitto-Nemling · Markus Holzleitner · Sebastian Lehner · Hamid Eghbal-zadeh · Sepp Hochreiter
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 309
Feature Learning and Signal Propagation in Deep Neural Networks
In DL: Theory
Yizhang Lou · Chris Mingard · Soufiane Hayou
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Ballroom 1 & 2
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
In Deep Learning
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Ballroom 3 & 4 None
Stable Conformal Prediction Sets
In MISC: General Machine Learning Techniques
Eugene Ndiaye
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Hall G None
Learning inverse folding from millions of predicted structures
In Applications
Chloe Hsu · Robert Verkuil · Jason Liu · Zeming Lin · Brian Hie · Tom Sercu · Adam Lerer · Alexander Rives
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Room 318 - 320 None
Privacy for Free: How does Dataset Condensation Help Privacy?
In Social Aspects/MISC
Tian Dong · Bo Zhao · Lingjuan Lyu
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Room 307
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
In Reinforcement Learning: Deep RL
Xingyu Liu · Deepak Pathak · Kris Kitani
Oral
Wed Jul 20 08:05 AM -- 08:25 AM (PDT) @ Room 309
Robust Training of Neural Networks Using Scale Invariant Architectures
In DL: Theory
Zhiyuan Li · Srinadh Bhojanapalli · Manzil Zaheer · Sashank Jakkam Reddi · Sanjiv Kumar
Spotlight
Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 310
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
In T: Game Theory/RL/Planning
Nelson Vadori · Rahul Savani · Thomas Spooner · Sumitra Ganesh
Spotlight
Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 327 - 329
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
In OPT: First Order
Wei Jiang · Bokun Wang · Yibo Wang · Lijun Zhang · Tianbao Yang
Spotlight
Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 301 - 303
Variational Sparse Coding with Learned Thresholding
In PM: Variational Inference/Bayesian Models and Methods
Kion Fallah · Christopher Rozell
Oral
Wed Jul 20 08:10 AM -- 08:30 AM (PDT) @ Room 310
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
In T: Game Theory/RL/Planning
Qinghua Liu · Yuanhao Wang · Chi Jin
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT) @ Room 301 - 303
Structured Stochastic Gradient MCMC
In PM: Variational Inference/Bayesian Models and Methods
Antonios Alexos · Alex Boyd · Stephan Mandt
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT) @ Room 327 - 329
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
In OPT: First Order
Bokun Wang · Tianbao Yang
Oral
Wed Jul 20 08:15 AM -- 08:35 AM (PDT) @ Room 301 - 303
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
In PM: Variational Inference/Bayesian Models and Methods
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Oral
Wed Jul 20 08:15 AM -- 08:35 AM (PDT) @ Room 327 - 329
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
In OPT: First Order
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT) @ Hall F
Contextual Bandits with Large Action Spaces: Made Practical
In T: Learning Theory/Domain Adaptation
Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Hall G
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
In Applications
Heeseung Kim · Sungwon Kim · Sungroh Yoon
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Ballroom 3 & 4
Rethinking Fano’s Inequality in Ensemble Learning
In MISC: General Machine Learning Techniques
Terufumi Morishita · Gaku Morio · Shota Horiguchi · Hiroaki Ozaki · Nobuo Nukaga
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Hall F
Identifiability Conditions for Domain Adaptation
In T: Learning Theory/Domain Adaptation
Ishaan Gulrajani · Tatsunori Hashimoto
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
Fair Generalized Linear Models with a Convex Penalty
In Social Aspects/MISC
Hyungrok Do · Preston Putzel · Axel Martin · Padhraic Smyth · Judy Zhong
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 307
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
In Reinforcement Learning: Deep RL
David Ireland · Giovanni Montana
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 309
Understanding Contrastive Learning Requires Incorporating Inductive Biases
In DL: Theory
Nikunj Umesh Saunshi · Jordan Ash · Surbhi Goel · Dipendra Kumar Misra · Cyril Zhang · Sanjeev Arora · Sham Kakade · Akshay Krishnamurthy
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Diversified Adversarial Attacks based on Conjugate Gradient Method
In Deep Learning
Keiichiro Yamamura · Haruki Sato · Nariaki Tateiwa · Nozomi Hata · Toru Mitsutake · Issa Oe · Hiroki Ishikura · Katsuki Fujisawa
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 310
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
In T: Game Theory/RL/Planning
Keegan Harris · Dung Ngo · Logan Stapleton · Hoda Heidari · Steven Wu
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
In Deep Learning
Jinxin Zhou · Xiao Li · Tianyu Ding · Chong You · Qing Qu · Zhihui Zhu
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
In MISC: General Machine Learning Techniques
Abishek Sankararaman · Balakrishnan Narayanaswamy · Vikramank Singh · Zhao Song
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 307
Efficient Learning for AlphaZero via Path Consistency
In Reinforcement Learning: Deep RL
Dengwei Zhao · Shikui Tu · Lei Xu
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Hall G
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
In Applications
Zhenhong Sun · Ming Lin · Xiuyu Sun · Zhiyu Tan · Hao Li · rong jin
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 309
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
In DL: Theory
Kais HARIZ · Hachem Kadri · Stephane Ayache · Maher Moakher · Thierry Artieres
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Hall F
Streaming Algorithms for High-Dimensional Robust Statistics
In T: Learning Theory/Domain Adaptation
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
HyperPrompt: Prompt-based Task-Conditioning of Transformers
In Social Aspects/MISC
Yun He · Steven Zheng · Yi Tay · Jai Gupta · Yu Du · Vamsi Aribandi · Zhe Zhao · Yaguang Li · Zhao Chen · Don Metzler · Heng-Tze Cheng · Ed Chi
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
In PM: Variational Inference/Bayesian Models and Methods
Tomas Geffner · Justin Domke
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
In OPT: First Order
Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 310
Learning to Infer Structures of Network Games
In T: Game Theory/RL/Planning
Emanuele Rossi · Federico Monti · Yan Leng · Michael Bronstein · Xiaowen Dong
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
Improving Mini-batch Optimal Transport via Partial Transportation
In MISC: General Machine Learning Techniques
Khai Nguyen · Dang Nguyen · The-Anh Vu-Le · Tung Pham · Nhat Ho
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 307
A data-driven approach for learning to control computers
In Reinforcement Learning: Deep RL
Peter Humphreys · David Raposo · Tobias Pohlen · Gregory Thornton · Rachita Chhaparia · Alistair Muldal · Josh Abramson · Petko Georgiev · Adam Santoro · Timothy Lillicrap
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Hall G
Proximal Exploration for Model-guided Protein Sequence Design
In Applications
Zhizhou Ren · Jiahan Li · Fan Ding · Yuan Zhou · Jianzhu Ma · Jian Peng
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Validating Causal Inference Methods
In Social Aspects/MISC
Harsh Parikh · Carlos Varjao · Louise Xu · Eric Tchetgen Tchetgen
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 309
Deep Network Approximation in Terms of Intrinsic Parameters
In DL: Theory
Zuowei Shen · Haizhao Yang · Shijun Zhang
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
On the Equivalence Between Temporal and Static Equivariant Graph Representations
In Deep Learning
Jianfei Gao · Bruno Ribeiro
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Hall F
Popular decision tree algorithms are provably noise tolerant
In T: Learning Theory/Domain Adaptation
Guy Blanc · Jane Lange · Ali Malik · Li-Yang Tan
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
In OPT: First Order
Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 310
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
In T: Game Theory/RL/Planning
Pihe Hu · Yu Chen · Longbo Huang
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
In PM: Variational Inference/Bayesian Models and Methods
Mao Ye · Qiang Liu
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Robust Training under Label Noise by Over-parameterization
In Deep Learning
Sheng Liu · Zhihui Zhu · Qing Qu · Chong You
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 307
Zero-Shot Reward Specification via Grounded Natural Language
In Reinforcement Learning: Deep RL
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4
Near-optimal rate of consistency for linear models with missing values
In MISC: General Machine Learning Techniques
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 309
Coin Flipping Neural Networks
In DL: Theory
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
In Social Aspects/MISC
Hadeel Soliman · Lingfei Zhao · Zhipeng Huang · Subhadeep Paul · Kevin Xu
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Hall F
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
In T: Learning Theory/Domain Adaptation
Lingbing Guo · Qiang Zhang · Zequn Sun · Mingyang Chen · Wei Hu · Huajun Chen
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Hall G None
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
In Applications
Pascal Notin · Mafalda Dias · Jonathan Frazer · Javier Marchena-Hurtado · Aidan Gomez · Debora Marks · Yarin Gal
[ Slides]  [ Paper PDF] 
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Deep Reference Priors: What is the best way to pretrain a model?
In PM: Variational Inference/Bayesian Models and Methods
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 310
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
In T: Game Theory/RL/Planning
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
Communication-Efficient Adaptive Federated Learning
In OPT: First Order
Yujia Wang · Lu Lin · Jinghui Chen
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 307
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
In Reinforcement Learning: Deep RL
Augustine Mavor-Parker · Kimberly Young · Caswell Barry · Lewis Griffin
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Permutation Search of Tensor Network Structures via Local Sampling
In MISC: General Machine Learning Techniques
Chao Li · Junhua Zeng · Zerui Tao · Qibin Zhao
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 309
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
In DL: Theory
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Hall G
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
In Applications
Chengyue Gong · · Qiang Liu
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
In Deep Learning
Mor Shpigel Nacson · Kavya Ravichandran · Nati Srebro · Daniel Soudry
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Hall F
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
In T: Learning Theory/Domain Adaptation
Mayee Chen · Daniel Y Fu · Avanika Narayan · Michael Zhang · Zhao Song · Kayvon Fatahalian · Christopher Re
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Scalable Deep Gaussian Markov Random Fields for General Graphs
In Social Aspects/MISC
Joel Oskarsson · Per Sidén · Fredrik Lindsten
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
In OPT: First Order
Yair Carmon · Arun Jambulapati · Yujia Jin · Aaron Sidford
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 310
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
In T: Game Theory/RL/Planning
Chris Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
In MISC: General Machine Learning Techniques
Keshigeyan Chandrasegaran · Ngoc-Trung Tran · Yunqing Zhao · Ngai-Man Cheung
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 309
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
In DL: Theory
Alexander Wei · Wei Hu · Jacob Steinhardt
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
In Deep Learning
Tom Tirer · Joan Bruna
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
In Social Aspects/MISC
Xi Zhang · Akshay Aravamudan · Georgios Anagnostopoulos
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 307
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
In Reinforcement Learning: Deep RL
Angelos Filos · Eszter Vértes · Zita Marinho · Gregory Farquhar · Diana Borsa · Abe Friesen · Feryal Behbahani · Tom Schaul · Andre Barreto · Simon Osindero
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Hall G
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
In Applications
Biao Zhang · Behrooz Ghorbani · Ankur Bapna · Yong Cheng · Xavier Garcia · Jonathan Shen · Orhan Firat
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Hall F
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
In T: Learning Theory/Domain Adaptation
Haotian Ju · Dongyue Li · Hongyang Zhang
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
In OPT: First Order
Yuanyuan Liu · Fanhua Shang · Weixin An · Hongying Liu · Zhouchen Lin
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
In Social Aspects/MISC
Wenchao Chen · Long Tian · Bo Chen · Liang Dai · Zhibin Duan · Mingyuan Zhou
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall G
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
In Applications
Yanqi Chen · Zhaofei Yu · Wei Fang · Zhengyu Ma · Tiejun Huang · Yonghong Tian
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4
DNNR: Differential Nearest Neighbors Regression
In MISC: General Machine Learning Techniques
Youssef Nader · Leon Sixt · Tim Landgraf
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 307
Improving Policy Optimization with Generalist-Specialist Learning
In Reinforcement Learning: Deep RL
Zhiwei Jia · Xuanlin Li · Zhan Ling · Shuang Liu · Yiran Wu · Hao Su
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
In T: Learning Theory/Domain Adaptation
Haoxiang Wang · Bo Li · Han Zhao
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
In Deep Learning
Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 309
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
In DL: Theory
weitao du · He Zhang · Yuanqi Du · Qi Meng · Wei Chen · Nanning Zheng · Bin Shao · Tie-Yan Liu
Break
Wed Jul 20 09:00 AM -- 10:30 AM (PDT)
Lunch Break On Your Own
Oral
Wed Jul 20 10:15 AM -- 10:35 AM (PDT) @ Room 301 - 303
Bayesian Continuous-Time Tucker Decomposition
In PM: Bayesian Models and Methods
Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe
Oral
Wed Jul 20 10:15 AM -- 10:35 AM (PDT) @ Room 309
Tight and Robust Private Mean Estimation with Few Users
In SA: Trustworthy Machine Learning
Shyam Narayanan · Vahab Mirrokni · Hossein Esfandiari
Oral
Wed Jul 20 10:15 AM -- 10:35 AM (PDT) @ Room 327 - 329
Generative Trees: Adversarial and Copycat
In T: Online Learning and Bandits/Learning Theory
Richard Nock · Mathieu Guillame-Bert
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2 None
Deep Learning/APP:Computer Vision
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4 None
Theory
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Hall F None
APP: Chemistry and Drug Discovery
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Hall G None
MISC: Representation Learning/Causality
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 301 - 303 None
PM: Bayesian Models and Methods
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 307 None
Reinforcement Learning
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 309 None
SA: Trustworthy Machine Learning
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 318 - 320 None
DL: Robustness
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 327 - 329 None
T: Online Learning and Bandits/Learning Theory
Session
Wed Jul 20 10:15 AM -- 11:45 AM (PDT) @ Room 310 None
DL: Robustness
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Ballroom 1 & 2
From data to functa: Your data point is a function and you can treat it like one
In Deep Learning/APP:Computer Vision
Emilien Dupont · Hyunjik Kim · S. M. Ali Eslami · Danilo J. Rezende · Dan Rosenbaum
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 318 - 320
Generating Distributional Adversarial Examples to Evade Statistical Detectors
In DL: Robustness
Yigitcan Kaya · Muhammad Bilal Zafar · Sergul Aydore · Nathalie Rauschmayr · Krishnaram Kenthapadi
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 310
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
In DL: Robustness
Robert Hönig · Yiren Zhao · Robert Mullins
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Hall G
Decomposing Temporal High-Order Interactions via Latent ODEs
In MISC: Representation Learning/Causality
Shibo Li · Robert Kirby · Shandian Zhe
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 307
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
In Reinforcement Learning
Yunhao Tang
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Hall F
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
In APP: Chemistry and Drug Discovery
Kailu Wu · Chung-Kuei Lee · Kaisheng Ma
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Ballroom 3 & 4
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
In Theory
Marc Jourdan · Rémy Degenne
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 310
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
In DL: Robustness
Ling Yang · Shenda Hong
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Ballroom 1 & 2
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
In Deep Learning/APP:Computer Vision
Rong Dai · Li Shen · Fengxiang He · Xinmei Tian · Dacheng Tao
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 318 - 320
Improving Out-of-Distribution Robustness via Selective Augmentation
In DL: Robustness
Huaxiu Yao · Yu Wang · Sai Li · Linjun Zhang · Weixin Liang · James Zou · Chelsea Finn
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Hall G
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
In MISC: Representation Learning/Causality
Tal Shnitzer · Mikhail Yurochkin · Kristjan Greenewald · Justin Solomon
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 307
Analysis of Stochastic Processes through Replay Buffers
In Reinforcement Learning
Shirli Di-Castro Shashua · Shie Mannor · Dotan Di Castro
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Hall F
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
In APP: Chemistry and Drug Discovery
Zoe Landgraf · Alexander Sorkine Hornung · ricardo cabral
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Ballroom 3 & 4
On the Finite-Time Performance of the Knowledge Gradient Algorithm
In Theory
Yanwen Li · Siyang Gao
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 310
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
In DL: Robustness
Yihan Wu · Hongyang Zhang · Heng Huang
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Ballroom 3 & 4
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
In Theory
Liang Zhang · Qiang Wu · Jun Shen · Linyuan Lü · Bo Du · Jianqing Wu
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 318 - 320
Modeling Adversarial Noise for Adversarial Training
In DL: Robustness
Dawei Zhou · Nannan Wang · Bo Han · Tongliang Liu
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Ballroom 1 & 2
Differentiable Top-k Classification Learning
In Deep Learning/APP:Computer Vision
Felix Petersen · Hilde Kuehne · Christian Borgelt · Oliver Deussen
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 307
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
In Reinforcement Learning
Yingjie Fei · Ruitu Xu
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Hall G
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
In MISC: Representation Learning/Causality
Jiameng Fan · Wenchao Li
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Hall F
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
In APP: Chemistry and Drug Discovery
Samuel Stanton · Wesley Maddox · Nate Gruver · Phillip Maffettone · Emily Delaney · Peyton Greenside · Andrew Wilson
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Hall G
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
In MISC: Representation Learning/Causality
Mohammad Taha Bahadori · Eric Tchetgen Tchetgen · David Heckerman
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
In Deep Learning/APP:Computer Vision
Runpei Dong · Zhanhong Tan · Mengdi Wu · Linfeng Zhang · Kaisheng Ma
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 318 - 320
Improving Adversarial Robustness via Mutual Information Estimation
In DL: Robustness
Dawei Zhou · Nannan Wang · Xinbo Gao · Bo Han · Xiaoyu Wang · Yibing Zhan · Tongliang Liu
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 307
Communicating via Markov Decision Processes
In Reinforcement Learning
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 310
Modeling Structure with Undirected Neural Networks
In DL: Robustness
Tsvetomila Mihaylova · Vlad Niculae · Andre Filipe Torres Martins
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Ballroom 3 & 4
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
In Theory
Liam Hodgkinson · Umut Simsekli · Rajiv Khanna · Michael Mahoney
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Hall F
Generative Coarse-Graining of Molecular Conformations
In APP: Chemistry and Drug Discovery
Wujie Wang · Minkai Xu · Chen Cai · Benjamin Kurt Miller · Tess Smidt · Yusu Wang · Jian Tang · Rafael Gomez-Bombarelli
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 301 - 303
Approximate Bayesian Computation with Domain Expert in the Loop
In PM: Bayesian Models and Methods
Ayush Bharti · Louis Filstroff · Samuel Kaski
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 309
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
In SA: Trustworthy Machine Learning
Liping Yi · Wang Gang · Liu Xiaoguang
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 327 - 329
A Resilient Distributed Boosting Algorithm
In T: Online Learning and Bandits/Learning Theory
Yuval filmus · Idan Mehalel · Shay Moran
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Ballroom 3 & 4
No-Regret Learning in Time-Varying Zero-Sum Games
In Theory
Mengxiao Zhang · Peng Zhao · Haipeng Luo · Zhi-Hua Zhou
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 310
Certified Neural Network Watermarks with Randomized Smoothing
In DL: Robustness
Arpit Bansal · Ping-yeh Chiang · Michael Curry · Rajiv Jain · Curtis Wigington · Varun Manjunatha · John P Dickerson · Tom Goldstein
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
In Deep Learning/APP:Computer Vision
Nan Wu · Stanislaw Jastrzebski · Kyunghyun Cho · Krzysztof J Geras
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Hall G
Role-based Multiplex Network Embedding
In MISC: Representation Learning/Causality
Hegui Zhang · Gang Kou
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 307
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
In Reinforcement Learning
Matilde Gargiani · Andrea Zanelli · Andrea Martinelli · Tyler Summers · John Lygeros
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 318 - 320
FOCUS: Familiar Objects in Common and Uncommon Settings
In DL: Robustness
Priyatham Kattakinda · Soheil Feizi
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Hall F
LIMO: Latent Inceptionism for Targeted Molecule Generation
In APP: Chemistry and Drug Discovery
Peter Eckmann · Kunyang Sun · Bo Zhao · Mudong Feng · Michael Gilson · Rose Yu
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 301 - 303
Discrete Probabilistic Inverse Optimal Transport
In PM: Bayesian Models and Methods
Wei-Ting Chiu · Pei Wang · Patrick Shafto
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 309
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
In SA: Trustworthy Machine Learning
Tianyu Pang · Min Lin · Xiao Yang · Jun Zhu · Shuicheng Yan
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 327 - 329
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
In T: Online Learning and Bandits/Learning Theory
Huiwen Jia · Cong Shi · Siqian Shen
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 310
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
In DL: Robustness
Wenxiao Wang · Alexander Levine · Soheil Feizi
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
Training Your Sparse Neural Network Better with Any Mask
In Deep Learning/APP:Computer Vision
Ajay Jaiswal · Haoyu Ma · Tianlong Chen · Ying Ding · Zhangyang “Atlas” Wang
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Ballroom 3 & 4
Achieving Minimax Rates in Pool-Based Batch Active Learning
In Theory
Claudio Gentile · Zhilei Wang · Tong Zhang
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 318 - 320
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
In DL: Robustness
Deokjae Lee · Seungyong Moon · Junhyeok Lee · Hyun Oh Song
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 307
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
In Reinforcement Learning
Hassam Sheikh · Kizza Nandyose Frisbee · mariano phielipp
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Hall G
Measure Estimation in the Barycentric Coding Model
In MISC: Representation Learning/Causality
Matthew Werenski · Ruijie Jiang · Abiy Tasissa · Shuchin Aeron · James Murphy
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Hall F
Learning to Separate Voices by Spatial Regions
In APP: Chemistry and Drug Discovery
Zhongweiyang Xu · Romit Roy Choudhury
Oral
Wed Jul 20 10:45 AM -- 11:05 AM (PDT) @ Room 307
Planning with Diffusion for Flexible Behavior Synthesis
In Reinforcement Learning
Michael Janner · Yilun Du · Josh Tenenbaum · Sergey Levine
Oral
Wed Jul 20 10:45 AM -- 11:05 AM (PDT) @ Hall G
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
In MISC: Representation Learning/Causality
Victor Chernozhukov · Whitney Newey · Víctor Quintas-Martínez · Vasilis Syrgkanis
Oral
Wed Jul 20 10:45 AM -- 11:05 AM (PDT) @ Hall F
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
In APP: Chemistry and Drug Discovery
Yinan Huang · Xingang Peng · Jianzhu Ma · Muhan Zhang
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 301 - 303
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
In PM: Bayesian Models and Methods
Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 309
Sanity Simulations for Saliency Methods
In SA: Trustworthy Machine Learning
Joon Kim · Gregory Plumb · Ameet Talwalkar
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 327 - 329
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
In T: Online Learning and Bandits/Learning Theory
Xiaohong Chen · Zhengling Qi
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
Federated Learning with Positive and Unlabeled Data
In Deep Learning/APP:Computer Vision
Xinyang Lin · Hanting Chen · Yixing Xu · Chao Xu · Xiaolin Gui · Yiping Deng · Yunhe Wang
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Ballroom 3 & 4
Active Multi-Task Representation Learning
In Theory
Yifang Chen · Kevin Jamieson · Simon Du
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 318 - 320
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
In DL: Robustness
Mohammad Zalbagi Darestani · Jiayu Liu · Reinhard Heckel
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 310
Adversarial Vulnerability of Randomized Ensembles
In DL: Robustness
Hassan Dbouk · Naresh Shanbhag
Oral
Wed Jul 20 10:50 AM -- 11:10 AM (PDT) @ Room 318 - 320
A Dynamical System Perspective for Lipschitz Neural Networks
In DL: Robustness
Laurent Meunier · Blaise Delattre · Alexandre ARAUJO · Alexandre Allauzen
Oral
Wed Jul 20 10:50 AM -- 11:10 AM (PDT) @ Room 310
Robustness Verification for Contrastive Learning
In DL: Robustness
Zekai Wang · Weiwei Liu
Oral
Wed Jul 20 10:50 AM -- 11:10 AM (PDT) @ Ballroom 3 & 4 None
Active fairness auditing
In Theory
Tom Yan · Chicheng Zhang
Oral
Wed Jul 20 10:50 AM -- 11:10 AM (PDT) @ Ballroom 1 & 2
Generating 3D Molecules for Target Protein Binding
In Deep Learning/APP:Computer Vision
Meng Liu · Youzhi Luo · Kanji Uchino · Koji Maruhashi · Shuiwang Ji
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
Congested Bandits: Optimal Routing via Short-term Resets
In T: Online Learning and Bandits/Learning Theory
Pranjal Awasthi · Kush Bhatia · Sreenivas Gollapudi · Kostas Kollias
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Streaming Inference for Infinite Feature Models
In PM: Bayesian Models and Methods
Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 309
Out-of-Distribution Detection with Deep Nearest Neighbors
In SA: Trustworthy Machine Learning
Yiyou Sun · Yifei Ming · Jerry Zhu · Yixuan Li
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 309
Differentially Private Maximal Information Coefficients
In SA: Trustworthy Machine Learning
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
In PM: Bayesian Models and Methods
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
Stochastic Rising Bandits
In T: Online Learning and Bandits/Learning Theory
Alberto Maria Metelli · Francesco Trovò · Matteo Pirola · Marcello Restelli
Oral
Wed Jul 20 11:00 AM -- 11:20 AM (PDT) @ Room 301 - 303
Function-space Inference with Sparse Implicit Processes
In PM: Bayesian Models and Methods
Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato
Oral
Wed Jul 20 11:00 AM -- 11:20 AM (PDT) @ Room 309
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
In SA: Trustworthy Machine Learning
Gautam Kamath · Xingtu Liu · Huanyu Zhang
Oral
Wed Jul 20 11:00 AM -- 11:20 AM (PDT) @ Room 327 - 329
Agnostic Learnability of Halfspaces via Logistic Loss
In T: Online Learning and Bandits/Learning Theory
Ziwei Ji · Kwangjun Ahn · Pranjal Awasthi · Satyen Kale · Stefani Karp
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Hall G
Counterfactual Transportability: A Formal Approach
In MISC: Representation Learning/Causality
Juan Correa · Sanghack Lee · Elias Bareinboim
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Room 307
A Temporal-Difference Approach to Policy Gradient Estimation
In Reinforcement Learning
Samuele Tosatto · Andrew Patterson · Martha White · A. Mahmood
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Hall F
3D Infomax improves GNNs for Molecular Property Prediction
In APP: Chemistry and Drug Discovery
Hannes Stärk · Dominique Beaini · Gabriele Corso · Prudencio Tossou · Christian Dallago · Stephan Günnemann · Pietro Lió
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 310
The CLRS Algorithmic Reasoning Benchmark
In DL: Robustness
Petar Veličković · Adrià Puigdomenech Badia · David Budden · Razvan Pascanu · Andrea Banino · Misha Dashevskiy · Raia Hadsell · Charles Blundell
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Hall G
Identification of Linear Non-Gaussian Latent Hierarchical Structure
In MISC: Representation Learning/Causality
Feng Xie · Biwei Huang · Zhengming Chen · Yangbo He · zhi geng · Kun Zhang
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Ballroom 1 & 2
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
In Deep Learning/APP:Computer Vision
Zheng He · Zeke Xie · Quanzhi Zhu · Zengchang Qin
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Ballroom 3 & 4
Metric-Fair Active Learning
In Theory
Jie Shen · Nan Cui · Jing Wang
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 318 - 320
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
In DL: Robustness
Alex Fang · Gabriel Ilharco · Mitchell Wortsman · Yuhao Wan · Vaishaal Shankar · Achal Dave · Ludwig Schmidt
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 307
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
In Reinforcement Learning
JEON JEEWON · WOOJUN KIM · Whiyoung Jung · Youngchul Sung
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Hall F
Biological Sequence Design with GFlowNets
In APP: Chemistry and Drug Discovery
Moksh Jain · Emmanuel Bengio · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Bonaventure Dossou · Chanakya Ekbote · Jie Fu · Tianyu Zhang · Michael Kilgour · Dinghuai Zhang · Lena Simine · Payel Das · Yoshua Bengio
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Ballroom 1 & 2
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
In Deep Learning/APP:Computer Vision
Yikang Zhang · zhuo chen · Zhao Zhong
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Ballroom 3 & 4
Metric-Fair Classifier Derandomization
In Theory
Jimmy Wu · Yatong Chen · Yang Liu
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Hall G
COAT: Measuring Object Compositionality in Emergent Representations
In MISC: Representation Learning/Causality
Sirui Xie · Ari Morcos · Song-Chun Zhu · Shanmukha Ramakrishna Vedantam
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 310
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
In DL: Robustness
Xiang Li · Renyu Zhu · Yao Cheng · Caihua Shan · Siqiang Luo · Dongsheng Li · Weining Qian
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 307
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
In Reinforcement Learning
Qi Cai · Zhuoran Yang · Zhaoran Wang
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 318 - 320
Neurotoxin: Durable Backdoors in Federated Learning
In DL: Robustness
Zhengming Zhang · Ashwinee Panda · Linyue Song · Yaoqing Yang · Michael Mahoney · Prateek Mittal · Kannan Ramchandran · Joseph E Gonzalez
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Hall F
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
In APP: Chemistry and Drug Discovery
Xingang Peng · Shitong Luo · Jiaqi Guan · Qi Xie · Jian Peng · Jianzhu Ma
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 301 - 303
Variational Inference for Infinitely Deep Neural Networks
In PM: Bayesian Models and Methods
Achille Nazaret · David Blei
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 309
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
In SA: Trustworthy Machine Learning
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 327 - 329
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
In T: Online Learning and Bandits/Learning Theory
Bruno Loureiro · Cedric Gerbelot · Maria Refinetti · Gabriele Sicuro · FLORENT KRZAKALA
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Hall G
Generalization and Robustness Implications in Object-Centric Learning
In MISC: Representation Learning/Causality
Andrea Dittadi · Samuele Papa · Michele De Vita · Bernhard Schölkopf · Ole Winther · Francesco Locatello
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 318 - 320
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
In DL: Robustness
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Revisiting Consistency Regularization for Deep Partial Label Learning
In Deep Learning/APP:Computer Vision
Dong-Dong Wu · Deng-Bao Wang · Min-Ling Zhang
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 310
Understanding Robust Generalization in Learning Regular Languages
In DL: Robustness
Soham Dan · Osbert Bastani · Dan Roth
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 307
Actor-Critic based Improper Reinforcement Learning
In Reinforcement Learning
Mohammadi Zaki · Avi Mohan · Aditya Gopalan · Shie Mannor
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Ballroom 3 & 4
Interactively Learning Preference Constraints in Linear Bandits
In Theory
David Lindner · Sebastian Tschiatschek · Katja Hofmann · Andreas Krause
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Hall F
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
In APP: Chemistry and Drug Discovery
Yue Wan · Chang-Yu (Kim) Hsieh · Ben Liao · Shengyu Zhang
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 301 - 303
Personalized Federated Learning via Variational Bayesian Inference
In PM: Bayesian Models and Methods
Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 309
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
In SA: Trustworthy Machine Learning
Xilie Xu · Jingfeng Zhang · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 327 - 329
PDE-Based Optimal Strategy for Unconstrained Online Learning
In T: Online Learning and Bandits/Learning Theory
Zhiyu Zhang · Ashok Cutkosky · Ioannis Paschalidis
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 318 - 320
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
In DL: Robustness
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Hall G
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
In MISC: Representation Learning/Causality
Wentao Zhang · Zeang Sheng · Mingyu Yang · Yang Li · Yu Shen · Zhi Yang · Bin Cui
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 310
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
In DL: Robustness
Leo Schwinn · Leon Bungert · An Nguyen · René Raab · Falk Pulsmeyer · Doina Precup · Bjoern Eskofier · Dario Zanca
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
In Deep Learning/APP:Computer Vision
Camille Garcin · Maximilien Servajean · Alexis Joly · Joseph Salmon
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Ballroom 3 & 4
Convergence of Uncertainty Sampling for Active Learning
In Theory
Anant Raj · Francis Bach
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 307
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
In Reinforcement Learning
Yuanzhou Chen · Jiafan He · Quanquan Gu
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Hall F
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
In APP: Chemistry and Drug Discovery
Guangyu Shen · Yingqi Liu · Guanhong Tao · Qiuling Xu · ZHUO ZHANG · Shengwei An · Shiqing Ma · Xiangyu Zhang
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 301 - 303
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
In PM: Bayesian Models and Methods
Jiri Hron · Roman Novak · Jeffrey Pennington · Jascha Sohl-Dickstein
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 327 - 329
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
In T: Online Learning and Bandits/Learning Theory
Jun-Kun Wang · Chi-Heng Lin · Andre Wibisono · Bin Hu
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 309
Certified Adversarial Robustness Under the Bounded Support Set
In SA: Trustworthy Machine Learning
Yiwen Kou · Qinyuan Zheng · Yisen Wang
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Hall G
Action-Sufficient State Representation Learning for Control with Structural Constraints
In MISC: Representation Learning/Causality
Biwei Huang · Chaochao Lu · Liu Leqi · Jose Miguel Hernandez-Lobato · Clark Glymour · Bernhard Schölkopf · Kun Zhang
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 307
The Geometry of Robust Value Functions
In Reinforcement Learning
Kaixin Wang · Navdeep Kumar · Kuangqi Zhou · Bryan Hooi · Jiashi Feng · Shie Mannor
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
Fast Lossless Neural Compression with Integer-Only Discrete Flows
In DL: Robustness
Siyu Wang · Jianfei Chen · Chongxuan Li · Jun Zhu · Bo Zhang
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
In Deep Learning/APP:Computer Vision
Yu Pan · Zeyong Su · Ao Liu · Jingquan Wang · Nannan Li · ZENGLIN Xu
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Ballroom 3 & 4
Thompson Sampling for Robust Transfer in Multi-Task Bandits
In Theory
Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 310
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
In DL: Robustness
Wenzheng Hou · Qianqian Xu · zhiyong yang · Shilong Bao · Yuan He · Qingming Huang
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Hall F
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
In APP: Chemistry and Drug Discovery
Juhwan Noh · Dae-Woong Jeong · Kiyoung Kim · Sehui Han · Moontae Lee · Honglak Lee · Yousung Jung
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
In T: Online Learning and Bandits/Learning Theory
Soumyabrata Pal · Arya Mazumdar · Rajat Sen · Avishek Ghosh
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 309
Predicting Out-of-Distribution Error with the Projection Norm
In SA: Trustworthy Machine Learning
Yaodong Yu · Zitong Yang · Alexander Wei · Yi Ma · Jacob Steinhardt
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Bayesian Deep Embedding Topic Meta-Learner
In PM: Bayesian Models and Methods
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
In DL: Robustness
Yuhta Takida · Takashi Shibuya · WeiHsiang Liao · Chieh-Hsin Lai · Junki Ohmura · Toshimitsu Uesaka · Naoki Murata · Shusuke Takahashi · Toshiyuki Kumakura · Yuki Mitsufuji
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
In Deep Learning/APP:Computer Vision
Changbin Li · Suraj Kothawade · Feng Chen · Rishabh Iyer
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 307
Denoised MDPs: Learning World Models Better Than the World Itself
In Reinforcement Learning
Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Ballroom 3 & 4
Constants Matter: The Performance Gains of Active Learning
In Theory
Stephen Mussmann · Sanjoy Dasgupta
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 310
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
In DL: Robustness
Kazuki Irie · Imanol Schlag · Robert Cordas · Jürgen Schmidhuber
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Hall F
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
In APP: Chemistry and Drug Discovery
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
Random Forest Density Estimation
In T: Online Learning and Bandits/Learning Theory
Hongwei Wen · Hanyuan Hang
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 309
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
In SA: Trustworthy Machine Learning
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
In PM: Bayesian Models and Methods
Yohan Jung · Kyungwoo Song · Jinkyoo Park
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Multicoated Supermasks Enhance Hidden Networks
In Deep Learning/APP:Computer Vision
Yasuyuki Okoshi · Ángel López García-Arias · Kazutoshi Hirose · Kota Ando · Kazushi Kawamura · Thiem Van Chu · Masato Motomura · Jaehoon Yu
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 310
Short-Term Plasticity Neurons Learning to Learn and Forget
In DL: Robustness
Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
In DL: Robustness
Giorgio Giannone · Ole Winther
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Cross-Space Active Learning on Graph Convolutional Networks
In Theory
Yufei Tao · Hao WU · Shiyuan Deng
Break
Wed Jul 20 11:45 AM -- 12:15 PM (PDT)
Coffee Break
Invited Talk
Wed Jul 20 12:15 PM -- 01:15 PM (PDT) @ Hall F None
Synthetic Control Methods and Difference-In-Differences
Guido Imbens
[ Slides] 
Break
Wed Jul 20 01:15 PM -- 01:30 PM (PDT) None
Short Break
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Ballroom 1 & 2 None
Deep Learning
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Ballroom 3 & 4 None
Theory
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Hall F None
Applications
Session
Wed Jul 20 01:30 PM -- 03:05 PM (PDT) @ Hall G None
Reinforcement Learning
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 301 - 303 None
DL: Algorithms
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 307 None
SA: Privacy-preserving Statistics and Machine Learning
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 309 None
Deep Learning/Optimization
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 318 - 320 None
Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 327 - 329 None
Deep Learning/Optimization
Session
Wed Jul 20 01:30 PM -- 03:00 PM (PDT) @ Room 310 None
Deep Learning/MISC
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 310
A New Perspective on the Effects of Spectrum in Graph Neural Networks
In Deep Learning/MISC
Mingqi Yang · Yanming Shen · Rui Li · Heng Qi · Qiang Zhang · Baocai Yin
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 307
Improved Regret for Differentially Private Exploration in Linear MDP
In SA: Privacy-preserving Statistics and Machine Learning
Dung Ngo · Giuseppe Vietri · Steven Wu
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 309
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
In Deep Learning/Optimization
Mariia Seleznova · Gitta Kutyniok
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Hall G
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
In Reinforcement Learning
Lipeng Wan · Zeyang Liu · Xingyu Chen · Xuguang Lan · Nanning Zheng
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
$p$-Laplacian Based Graph Neural Networks
In Deep Learning
Guoji Fu · Peilin Zhao · Yatao Bian
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
The Infinite Contextual Graph Markov Model
In DL: Algorithms
Daniele Castellana · Federico Errica · Davide Bacciu · Alessio Micheli
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Hall F
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
In Applications
Dani Kiyasseh · Tingting Zhu · David Clifton
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Ballroom 3 & 4
The dynamics of representation learning in shallow, non-linear autoencoders
In Theory
Maria Refinetti · Sebastian Goldt
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
In Deep Learning/Optimization
Mustafa Burak Gurbuz · Constantine Dovrolis
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Frederik Benzing
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Ballroom 3 & 4
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
In Theory
Noam Razin · Asaf Maman · Nadav Cohen
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Hall G
Bayesian Nonparametrics for Offline Skill Discovery
In Reinforcement Learning
Valentin Villecroze · Harry Braviner · Panteha Naderian · Chris Maddison · Gabriel Loaiza-Ganem
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Hall F
Matching Structure for Dual Learning
In Applications
Hao Fei · Shengqiong Wu · Yafeng Ren · Meishan Zhang
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 309
Implicit Bias of Linear Equivariant Networks
In Deep Learning/Optimization
Hannah Lawrence · Bobak T Kiani · Kristian Georgiev · Andrew Dienes
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 310
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
In Deep Learning/MISC
Zhaoning Yu · Hongyang Gao
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
In Deep Learning/Optimization
Lechao Xiao · Jeffrey Pennington
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 307
Differentially Private Community Detection for Stochastic Block Models
In SA: Privacy-preserving Statistics and Machine Learning
Mohamed Mohamed · Dung Nguyen · Anil Vullikanti · Ravi Tandon
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
In DL: Algorithms
Yu Gong · Greg Mori · Frederick Tung
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Equivariant Quantum Graph Circuits
In Deep Learning
Peter Mernyei · Konstantinos Meichanetzidis · Ismail Ceylan
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
A Theoretical Comparison of Graph Neural Network Extensions
In Deep Learning
Pál András Papp · Roger Wattenhofer
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 310
Partial Label Learning via Label Influence Function
In Deep Learning/MISC
Xiuwen Gong · Dong Yuan · Wei Bao
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Ballroom 3 & 4
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
In Theory
Ramji Venkataramanan · Kevin Kögler · Marco Mondelli
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Hall F
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
In Applications
Junnan Li · DONGXU LI · Caiming Xiong · Steven Hoi
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Hall G
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
In Reinforcement Learning
James-Michael Leahy · Bekzhan Kerimkulov · David Siska · Lukasz Szpruch
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Efficient Online ML API Selection for Multi-Label Classification Tasks
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Lingjiao Chen · Matei Zaharia · James Zou
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 307
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
In SA: Privacy-preserving Statistics and Machine Learning
xinwei zhang · Xiangyi Chen · Mingyi Hong · Steven Wu · Jinfeng Yi
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 309
The State of Sparse Training in Deep Reinforcement Learning
In Deep Learning/Optimization
Laura Graesser · Utku Evci · Erich Elsen · Pablo Samuel Castro
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
Detached Error Feedback for Distributed SGD with Random Sparsification
In DL: Algorithms
An Xu · Heng Huang
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
Auxiliary Learning with Joint Task and Data Scheduling
In Deep Learning/Optimization
Hong Chen · Xin Wang · Chaoyu Guan · Yue Liu · Wenwu Zhu
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 301 - 303
Training OOD Detectors in their Natural Habitats
In DL: Algorithms
Julian Katz-Samuels · Julia Nakhleh · Robert Nowak · Yixuan Li
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 307
Hermite Polynomial Features for Private Data Generation
In SA: Privacy-preserving Statistics and Machine Learning
Margarita Vinaroz · Mohammad-Amin Charusaie · Frederik Harder · Kamil Adamczewski · Mi Jung Park
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 309
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
In Deep Learning/Optimization
Lily Zhang · Veronica Tozzo · John Higgins · Rajesh Ranganath
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 318 - 320
Entropic Causal Inference: Graph Identifiability
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Spencer Compton · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Variational On-the-Fly Personalization
In Deep Learning
Jangho Kim · Jun-Tae Lee · Simyung Chang · NOJUN KWAK
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Ballroom 3 & 4
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
In Theory
Umberto M. Tomasini · Antonio Sclocchi · Matthieu Wyart
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 310
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
In Deep Learning/MISC
Verónica Álvarez · Santiago Mazuelas · Jose A Lozano
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Hall F
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
In Applications
Edresson Casanova · Julian Weber · Christopher Shulby · Arnaldo Candido Junior · Eren Gölge · Moacir Ponti
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Hall G
Curriculum Reinforcement Learning via Constrained Optimal Transport
In Reinforcement Learning
Pascal Klink · Haoyi Yang · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 327 - 329
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
In Deep Learning/Optimization
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Ballroom 1 & 2
Deep symbolic regression for recurrence prediction
In Deep Learning
Stéphane d'Ascoli · Pierre-Alexandre Kamienny · Guillaume Lample · Francois Charton
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Hall F
Inducing Causal Structure for Interpretable Neural Networks
In Applications
Atticus Geiger · Zhengxuan Wu · Hanson Lu · Joshua Rozner · Elisa Kreiss · Thomas Icard · Noah Goodman · Christopher Potts
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 310
Understanding Robust Overfitting of Adversarial Training and Beyond
In Deep Learning/MISC
Chaojian Yu · Bo Han · Li Shen · Jun Yu · Chen Gong · Mingming Gong · Tongliang Liu
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Ballroom 3 & 4
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
In Theory
Daniel Vial · Advait Parulekar · Sanjay Shakkottai · R Srikant
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 307
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
In SA: Privacy-preserving Statistics and Machine Learning
Mantas Mazeika · Bo Li · David Forsyth
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 309
Datamodels: Understanding Predictions with Data and Data with Predictions
In Deep Learning/Optimization
Andrew Ilyas · Sung Min (Sam) Park · Logan Engstrom · Guillaume Leclerc · Aleksander Madry
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 327 - 329
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
In Deep Learning/Optimization
Rui Liu · Young Jin Kim · Alexandre Muzio · Hany Hassan
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 318 - 320
Architecture Agnostic Federated Learning for Neural Networks
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Disha Makhija · Xing Han · Nhat Ho · Joydeep Ghosh
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Hall G
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
In Reinforcement Learning
Tianwei Ni · Benjamin Eysenbach · Ruslan Salakhutdinov
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 301 - 303
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
In DL: Algorithms
Weiran Lin · Keane Lucas · Lujo Bauer · Michael Reiter · Mahmood Sharif
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Hall F
SDQ: Stochastic Differentiable Quantization with Mixed Precision
In Applications
Xijie Huang · Zhiqiang Shen · Shichao Li · Zechun Liu · Hu Xianghong · Jeffry Wicaksana · Eric Xing · Kwang-Ting Cheng
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Ballroom 3 & 4
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
In Theory
Michael Puthawala · Matti Lassas · Ivan Dokmanic · Maarten de Hoop
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 327 - 329
Generalizing Gaussian Smoothing for Random Search
In Deep Learning/Optimization
Katelyn Gao · Ozan Sener
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Hall G
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
In Reinforcement Learning
Andrea Zanette · Martin Wainwright
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 307
Deduplicating Training Data Mitigates Privacy Risks in Language Models
In SA: Privacy-preserving Statistics and Machine Learning
Nikhil Kandpal · Eric Wallace · Colin Raffel
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 318 - 320
Conformal Prediction Sets with Limited False Positives
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 309
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
In Deep Learning/Optimization
Yihua Zhang · Guanhua Zhang · Prashant Khanduri · Mingyi Hong · Shiyu Chang · Sijia Liu
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 301 - 303
Neural Tangent Kernel Empowered Federated Learning
In DL: Algorithms
Kai Yue · Richeng Jin · Ryan Pilgrim · Chau-Wai Wong · Dror Baron · Huaiyu Dai
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 310
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
In Deep Learning/MISC
Hugo Lebeau · Romain Couillet · Florent Chatelain
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2
Geometric Multimodal Contrastive Representation Learning
In Deep Learning
Petra Poklukar · Miguel Vasco · Hang Yin · Francisco S. Melo · Ana Paiva · Danica Kragic
Oral
Wed Jul 20 02:00 PM -- 02:20 PM (PDT) @ Room 310
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
In Deep Learning/MISC
Abhineet Agarwal · Yan Shuo Tan · Omer Ronen · Chandan Singh · Bin Yu
Oral
Wed Jul 20 02:00 PM -- 02:20 PM (PDT) @ Room 327 - 329
A General Recipe for Likelihood-free Bayesian Optimization
In Deep Learning/Optimization
Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 309
Deep Causal Metric Learning
In Deep Learning/Optimization
Xiang Deng · Zhongfei Zhang
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Ballroom 3 & 4
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
In Theory
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 301 - 303
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
In DL: Algorithms
Alex Robey · Luiz F. O. Chamon · George J. Pappas · Hamed Hassani
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 307
Private frequency estimation via projective geometry
In SA: Privacy-preserving Statistics and Machine Learning
Vitaly Feldman · Jelani Nelson · Huy Nguyen · Kunal Talwar
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Hall G
Constrained Offline Policy Optimization
In Reinforcement Learning
Nicholas Polosky · Bruno C. da Silva · Madalina Fiterau · Jithin Jagannath
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Hall F
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
In Applications
Emanuele Bugliarello · Fangyu Liu · Jonas Pfeiffer · Siva Reddy · Desmond Elliott · Edoardo Maria Ponti · Ivan Vulić
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Ballroom 1 & 2
Universality of Winning Tickets: A Renormalization Group Perspective
In Deep Learning
William T. Redman · Tianlong Chen · Zhangyang “Atlas” Wang · Akshunna S. Dogra
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 318 - 320
Scalable Computation of Causal Bounds
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Madhumitha Shridharan · Garud Iyengar
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Room 301 - 303
Adversarially trained neural representations are already as robust as biological neural representations
In DL: Algorithms
Chong Guo · Michael Lee · Guillaume Leclerc · Joel Dapello · Yug Rao · Aleksander Madry · James DiCarlo
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Hall G
Causal Dynamics Learning for Task-Independent State Abstraction
In Reinforcement Learning
Zizhao Wang · Xuesu Xiao · Zifan Xu · Yuke Zhu · Peter Stone
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Room 307
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
In SA: Privacy-preserving Statistics and Machine Learning
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Room 309
Not All Poisons are Created Equal: Robust Training against Data Poisoning
In Deep Learning/Optimization
Yu Yang · Tian Yu Liu · Baharan Mirzasoleiman
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Room 318 - 320
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Piotr Tempczyk · Rafał Michaluk · Łukasz Garncarek · Przemysław Spurek · Jacek Tabor · Adam Golinski
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Ballroom 1 & 2
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
In Deep Learning
Haotao Wang · Aston Zhang · Yi Zhu · Shuai Zheng · Mu Li · Alex Smola · Zhangyang “Atlas” Wang
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Ballroom 3 & 4
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
In Theory
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Hall F
Re-evaluating Word Mover's Distance
In Applications
Ryoma Sato · Makoto Yamada · Hisashi Kashima
Spotlight
Wed Jul 20 02:20 PM -- 02:25 PM (PDT) @ Room 310
Supervised Learning with General Risk Functionals
In Deep Learning/MISC
Liu Leqi · Audrey Huang · Zachary Lipton · Kamyar Azizzadenesheli
Spotlight
Wed Jul 20 02:20 PM -- 02:25 PM (PDT) @ Room 327 - 329
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
In Deep Learning/Optimization
Theodore Papalexopoulos · Christian Tjandraatmadja · Ross Anderson · Juan Pablo Vielma · David Belanger
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Ballroom 3 & 4
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
In Theory
Andrew Saxe · Shagun Sodhani · Sam Lewallen
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 310
Locally Sparse Neural Networks for Tabular Biomedical Data
In Deep Learning/MISC
Junchen Yang · Ofir Lindenbaum · Yuval Kluger
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 327 - 329
Risk-Averse No-Regret Learning in Online Convex Games
In Deep Learning/Optimization
Zifan Wang · Yi Shen · Michael Zavlanos
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Hall G
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
In Reinforcement Learning
Lin Guan · Sarath Sreedharan · Subbarao Kambhampati
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 309
Learning Symmetric Embeddings for Equivariant World Models
In Deep Learning/Optimization
Jung Yeon Park · Ondrej Biza · Linfeng Zhao · Jan-Willem van de Meent · Robin Walters
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 301 - 303
Feature Space Particle Inference for Neural Network Ensembles
In DL: Algorithms
Shingo Yashima · Teppei Suzuki · Kohta Ishikawa · Ikuro Sato · Rei Kawakami
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 307
Faster Privacy Accounting via Evolving Discretization
In SA: Privacy-preserving Statistics and Machine Learning
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2
Loss Function Learning for Domain Generalization by Implicit Gradient
In Deep Learning
Boyan Gao · Henry Gouk · Yongxin Yang · Timothy Hospedales
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 318 - 320
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Pengjie Gu · Mengchen Zhao · Chen Chen · Dong Li · Jianye Hao · Bo An
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Hall F
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
In Applications
Ye Jia · Michelle Tadmor Ramanovich · Tal Remez · Roi Pomerantz
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 327 - 329
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
In Deep Learning/Optimization
Xin Chen · Yujie Tang · Na Li
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 301 - 303
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
In DL: Algorithms
Bithika Pal · Arindam Biswas · Sudeshna Kolay · Pabitra Mitra · Biswajit Basu
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Ballroom 1 & 2
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
In Deep Learning
Haiyang Yu · Limei Wang · Bokun Wang · Meng Liu · Tianbao Yang · Shuiwang Ji
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 309
Accelerated Federated Learning with Decoupled Adaptive Optimization
In Deep Learning/Optimization
Jiayin Jin · Jiaxiang Ren · Yang Zhou · Lingjuan Lyu · Ji Liu · Dejing Dou
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Ballroom 3 & 4
Efficient Learning of CNNs using Patch Based Features
In Theory
Alon Brutzkus · Amir Globerson · Eran Malach · Alon Regev Netser · Shai Shalev-Shwartz
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 307
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
In SA: Privacy-preserving Statistics and Machine Learning
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Hall G
Reinforcement Learning with Action-Free Pre-Training from Videos
In Reinforcement Learning
Younggyo Seo · Kimin Lee · Stephen James · Pieter Abbeel
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 310
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
In Deep Learning/MISC
Jun-Yi Hang · Min-Ling Zhang
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 318 - 320
A Statistical Manifold Framework for Point Cloud Data
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Yonghyeon Lee · Seungyeon Kim · Jinwon Choi · Frank Chongwoo Park
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Hall F
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
In Applications
Justin Jude · Matthew G. Perich · Lee Miller · Matthias Hennig
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Hall G
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
In Reinforcement Learning
Yi Wan · Ali Rahimi-Kalahroudi · Janarthanan Rajendran · Ida Momennejad · Sarath Chandar · Harm van Seijen
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 327 - 329
Robust Multi-Objective Bayesian Optimization Under Input Noise
In Deep Learning/Optimization
Samuel Daulton · Sait Cakmak · Maximilian Balandat · Michael A Osborne · Enlu Zhou · Eytan Bakshy
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 309
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
In Deep Learning/Optimization
Sadegh Farhadkhani · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Ballroom 3 & 4
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
In Theory
Jongmin Lee · Joo Young Choi · Ernest Ryu · Albert No
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 307
Private Adaptive Optimization with Side information
In SA: Privacy-preserving Statistics and Machine Learning
Tian Li · Manzil Zaheer · Sashank Jakkam Reddi · Virginia Smith
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 301 - 303
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
In DL: Algorithms
Sanghoon Myung · In Huh · Wonik Jang · Jae Myung Choe · Jisu Ryu · Daesin Kim · Kee-Eung Kim · Changwook Jeong
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Ballroom 1 & 2
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
In Deep Learning
Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Hall F
Symmetric Machine Theory of Mind
In Applications
Melanie Sclar · Graham Neubig · Yonatan Bisk
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 318 - 320
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Daniel Jarrett · Bogdan Cebere · Tennison Liu · Alicia Curth · Mihaela van der Schaar
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 310
Detecting Corrupted Labels Without Training a Model to Predict
In Deep Learning/MISC
Zhaowei Zhu · Zihao Dong · Yang Liu
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 309
TSPipe: Learn from Teacher Faster with Pipelines
In Deep Learning/Optimization
Hwijoon Lim · Yechan Kim · Sukmin Yun · Jinwoo Shin · Dongsu Han
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Ballroom 3 & 4
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
In Theory
Yu Huang · Junyang Lin · Chang Zhou · Hongxia Yang · Longbo Huang
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 307
Secure Quantized Training for Deep Learning
In SA: Privacy-preserving Statistics and Machine Learning
Marcel Keller · Ke Sun
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 301 - 303
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
In DL: Algorithms
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 310
Prototype-Anchored Learning for Learning with Imperfect Annotations
In Deep Learning/MISC
Xiong Zhou · Xianming Liu · Deming Zhai · Junjun Jiang · Xin Gao · Xiangyang Ji
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Hall G
Delayed Reinforcement Learning by Imitation
In Reinforcement Learning
Pierre Liotet · Davide Maran · Lorenzo Bisi · Marcello Restelli
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 318 - 320
A Natural Actor-Critic Framework for Zero-Sum Markov Games
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Ahmet Alacaoglu · Luca Viano · Niao He · Volkan Cevher
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 327 - 329
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
In Deep Learning/Optimization
Wanli Shi · Hongchang Gao · Bin Gu
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2
A Differential Entropy Estimator for Training Neural Networks
In Deep Learning
Georg Pichler · Pierre Colombo · Malik Boudiaf · Günther Koliander · Pablo Piantanida
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Hall F
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
In Applications
Qingru Zhang · Simiao Zuo · Chen Liang · Alexander Bukharin · Pengcheng He · Weizhu Chen · Tuo Zhao
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Ballroom 3 & 4
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
In Theory
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 307
Private optimization in the interpolation regime: faster rates and hardness results
In SA: Privacy-preserving Statistics and Machine Learning
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Hall F
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
In Applications
Michael Teti · Garrett T Kenyon · Benjamin Migliori · Juston Moore
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 318 - 320
Distributionally Robust $Q$-Learning
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Zijian Liu · Jerry Bai · Jose Blanchet · Perry Dong · Wei Xu · Zhengqing Zhou · Zhengyuan Zhou
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Ballroom 1 & 2
Scaling Out-of-Distribution Detection for Real-World Settings
In Deep Learning
Dan Hendrycks · Steven Basart · Mantas Mazeika · Andy Zou · joseph kwon · Mohammadreza Mostajabi · Jacob Steinhardt · Dawn Song
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Hall G
Reachability Constrained Reinforcement Learning
In Reinforcement Learning
Dongjie Yu · Haitong Ma · Shengbo Li · Jianyu Chen
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 310
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
In Deep Learning/MISC
Luc Brogat-Motte · Rémi Flamary · Celine Brouard · Juho Rousu · Florence d'Alché-Buc
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 301 - 303
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
In DL: Algorithms
Minyoung Kim · Da Li · Xu Hu · Timothy Hospedales
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 309
Personalized Federated Learning through Local Memorization
In Deep Learning/Optimization
Othmane Marfoq · Giovanni Neglia · Richard Vidal · Laetitia Kameni
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 327 - 329
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
In Deep Learning/Optimization
Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Hall G
Adaptive Model Design for Markov Decision Process
In Reinforcement Learning
Siyu Chen · Donglin Yang · Jiayang Li · Senmiao Wang · Zhuoran Yang · Zhaoran Wang
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 318 - 320
Sparsity in Partially Controllable Linear Systems
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Yonathan Efroni · Sham Kakade · Akshay Krishnamurthy · Cyril Zhang
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 307
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
In SA: Privacy-preserving Statistics and Machine Learning
Paul Mangold · Aurélien Bellet · Joseph Salmon · Marc Tommasi
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 309
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
In Deep Learning/Optimization
Yi Wang · Zhiren Wang
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 310
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
In Deep Learning/MISC
Huayi Tang · Yong Liu
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Hall F
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
In Applications
Daniel Kramer · Philine Bommer · Daniel Durstewitz · Carlo Tombolini · Georgia Koppe
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 301 - 303
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
In DL: Algorithms
Fabrizio Pittorino · Antonio Ferraro · Gabriele Perugini · Christoph Feinauer · Carlo Baldassi · RIccardo Zecchina
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Ballroom 1 & 2
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
In Deep Learning
Jaehyeong Jo · Seul Lee · Sung Ju Hwang
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 327 - 329
The power of first-order smooth optimization for black-box non-smooth problems
In Deep Learning/Optimization
Alexander Gasnikov · Anton Novitskii · Vasilii Novitskii · Farshed Abdukhakimov · Dmitry Kamzolov · Aleksandr Beznosikov · Martin Takac · Pavel Dvurechenskii · Bin Gu
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Ballroom 3 & 4
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
In Theory
Feix Biggs · Benjamin Guedj
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Hall F
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
In Applications
Alexandre Pasquiou · Yair Lakretz · John Hale · Thirion Bertrand · Christophe Pallier
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 309
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
In Deep Learning/Optimization
Risheng Liu · Xuan Liu · Shangzhi Zeng · Jin Zhang · Yixuan ZHANG
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Ballroom 3 & 4
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
In Theory
Sebastian Lee · Stefano Sarao Mannelli · Claudia Clopath · Sebastian Goldt · Andrew Saxe
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 318 - 320
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Aivar Sootla · Alexander I Cowen-Rivers · Taher Jafferjee · Ziyan Wang · David Mguni · Jun Wang · Haitham Bou Ammar
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 301 - 303
Towards Understanding Sharpness-Aware Minimization
In DL: Algorithms
Maksym Andriushchenko · Nicolas Flammarion
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 307
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
In SA: Privacy-preserving Statistics and Machine Learning
Yuxuan Han · Zhicong Liang · Zhipeng Liang · Yang Wang · Yuan Yao · Jiheng Zhang
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Ballroom 1 & 2
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
In Deep Learning
Karolis Martinkus · Andreas Loukas · Nathanaël Perraudin · Roger Wattenhofer
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Hall G
Goal Misgeneralization in Deep Reinforcement Learning
In Reinforcement Learning
Lauro Langosco di Langosco · Jack Koch · Lee Sharkey · Jacob Pfau · David Krueger
Spotlight
Wed Jul 20 03:00 PM -- 03:05 PM (PDT) @ Hall G None
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
In Reinforcement Learning
Tanmay Shankar · Yixin Lin · Aravind Rajeswaran · Vikash Kumar · Stuart Anderson · Jean Oh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
In Poster Session 2
Peter J. Bevan · Amir Atapour-Abarghouei
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
In Poster Session 2
Benjamin Coleman · Benito Geordie · Li Chou · R. A. Leo Elworth · Todd Treangen · Anshumali Shrivastava
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #104
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
In Poster Session 2
Jing Lin · Xiaowan Hu · Yuanhao Cai · Haoqian Wang · Youliang Yan · Xueyi Zou · Yulun Zhang · Luc Van Gool
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
In Poster Session 2
Jintai Chen · KuanLun Liao · Kun Wei · Haochao Ying · Danny Z Chen · Jian Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
In Poster Session 2
Yichen Gu · DAVID BLAAUW · Joshua Welch
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In Poster Session 2
Yuqing Du · Daniel Ho · Alexander Alemi · Eric Jang · Mohi Khansari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
De novo mass spectrometry peptide sequencing with a transformer model
In Poster Session 2
Melih Yilmaz · William Fondrie · Wout Bittremieux · Sewoong Oh · William Noble
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
Learning inverse folding from millions of predicted structures
In Poster Session 2
Chloe Hsu · Robert Verkuil · Jason Liu · Zeming Lin · Brian Hie · Tom Sercu · Adam Lerer · Alexander Rives
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
In Poster Session 2
Heeseung Kim · Sungwon Kim · Sungroh Yoon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #118
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
In Poster Session 2
Zhenhong Sun · Ming Lin · Xiuyu Sun · Zhiyu Tan · Hao Li · rong jin
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Proximal Exploration for Model-guided Protein Sequence Design
In Poster Session 2
Zhizhou Ren · Jiahan Li · Fan Ding · Yuan Zhou · Jianzhu Ma · Jian Peng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
In Poster Session 2
Pascal Notin · Mafalda Dias · Jonathan Frazer · Javier Marchena-Hurtado · Aidan Gomez · Debora Marks · Yarin Gal
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
In Poster Session 2
Chengyue Gong · · Qiang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
In Poster Session 2
Biao Zhang · Behrooz Ghorbani · Ankur Bapna · Yong Cheng · Xavier Garcia · Jonathan Shen · Orhan Firat
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
In Poster Session 2
Yanqi Chen · Zhaofei Yu · Wei Fang · Zhengyu Ma · Tiejun Huang · Yonghong Tian
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #133
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
In Poster Session 2
Kailu Wu · Chung-Kuei Lee · Kaisheng Ma
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
In Poster Session 2
Zoe Landgraf · Alexander Sorkine Hornung · ricardo cabral
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
In Poster Session 2
Tanmay Shankar · Yixin Lin · Aravind Rajeswaran · Vikash Kumar · Stuart Anderson · Jean Oh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
In Poster Session 2
Jiayao Zhang · Hongming ZHANG · Weijie Su · Dan Roth
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Generative Coarse-Graining of Molecular Conformations
In Poster Session 2
Wujie Wang · Minkai Xu · Chen Cai · Benjamin Kurt Miller · Tess Smidt · Yusu Wang · Jian Tang · Rafael Gomez-Bombarelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
LIMO: Latent Inceptionism for Targeted Molecule Generation
In Poster Session 2
Peter Eckmann · Kunyang Sun · Bo Zhao · Mudong Feng · Michael Gilson · Rose Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #121
Learning to Separate Voices by Spatial Regions
In Poster Session 2
Zhongweiyang Xu · Romit Roy Choudhury
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
In Poster Session 2
Yinan Huang · Xingang Peng · Jianzhu Ma · Muhan Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
3D Infomax improves GNNs for Molecular Property Prediction
In Poster Session 2
Hannes Stärk · Dominique Beaini · Gabriele Corso · Prudencio Tossou · Christian Dallago · Stephan Günnemann · Pietro Lió
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
Biological Sequence Design with GFlowNets
In Poster Session 2
Moksh Jain · Emmanuel Bengio · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Bonaventure Dossou · Chanakya Ekbote · Jie Fu · Tianyu Zhang · Michael Kilgour · Dinghuai Zhang · Lena Simine · Payel Das · Yoshua Bengio
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
In Poster Session 2
Xingang Peng · Shitong Luo · Jiaqi Guan · Qi Xie · Jian Peng · Jianzhu Ma
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
In Poster Session 2
Yue Wan · Chang-Yu (Kim) Hsieh · Ben Liao · Shengyu Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
In Poster Session 2
Guangyu Shen · Yingqi Liu · Guanhong Tao · Qiuling Xu · ZHUO ZHANG · Shengwei An · Shiqing Ma · Xiangyu Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
In Poster Session 2
Juhwan Noh · Dae-Woong Jeong · Kiyoung Kim · Sehui Han · Moontae Lee · Honglak Lee · Yousung Jung
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
In Poster Session 2
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
In Poster Session 2
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Matching Structure for Dual Learning
In Poster Session 2
Hao Fei · Shengqiong Wu · Yafeng Ren · Meishan Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
In Poster Session 2
Junnan Li · DONGXU LI · Caiming Xiong · Steven Hoi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
In Poster Session 2
Edresson Casanova · Julian Weber · Christopher Shulby · Arnaldo Candido Junior · Eren Gölge · Moacir Ponti
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Inducing Causal Structure for Interpretable Neural Networks
In Poster Session 2
Atticus Geiger · Zhengxuan Wu · Hanson Lu · Joshua Rozner · Elisa Kreiss · Thomas Icard · Noah Goodman · Christopher Potts
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
SDQ: Stochastic Differentiable Quantization with Mixed Precision
In Poster Session 2
Xijie Huang · Zhiqiang Shen · Shichao Li · Zechun Liu · Hu Xianghong · Jeffry Wicaksana · Eric Xing · Kwang-Ting Cheng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
In Poster Session 2
Emanuele Bugliarello · Fangyu Liu · Jonas Pfeiffer · Siva Reddy · Desmond Elliott · Edoardo Maria Ponti · Ivan Vulić
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
Re-evaluating Word Mover's Distance
In Poster Session 2
Ryoma Sato · Makoto Yamada · Hisashi Kashima
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #224
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
In Poster Session 2
Ye Jia · Michelle Tadmor Ramanovich · Tal Remez · Roi Pomerantz
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
In Poster Session 2
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
In Poster Session 2
Justin Jude · Matthew G. Perich · Lee Miller · Matthias Hennig
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Symmetric Machine Theory of Mind
In Poster Session 2
Melanie Sclar · Graham Neubig · Yonatan Bisk
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
In Poster Session 2
Qingru Zhang · Simiao Zuo · Chen Liang · Alexander Bukharin · Pengcheng He · Weizhu Chen · Tuo Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
In Poster Session 2
Michael Teti · Garrett T Kenyon · Benjamin Migliori · Juston Moore
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
In Poster Session 2
Daniel Kramer · Philine Bommer · Carlo Tombolini · Georgia Koppe · Daniel Durstewitz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
In Poster Session 2
Alexandre Pasquiou · Yair Lakretz · John Hale · Thirion Bertrand · Christophe Pallier
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards understanding how momentum improves generalization in deep learning
In Poster Session 2
Samy Jelassi · Yuanzhi Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
In Poster Session 2
Tiffany Vlaar · Jonathan Frankle
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Deep equilibrium networks are sensitive to initialization statistics
In Poster Session 2
Atish Agarwala · Samuel Schoenholz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
In Poster Session 2
Jiahao Su · Wonmin Byeon · Furong Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
In Poster Session 2
Arindam Banerjee · Tiancong Chen · Xinyan Li · Yingxue Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Local Augmentation for Graph Neural Networks
In Poster Session 2
Songtao Liu · Rex (Zhitao) Ying · Hanze Dong · Lanqing Li · Tingyang Xu · Yu Rong · Peilin Zhao · Junzhou Huang · Dinghao Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
On Non-local Convergence Analysis of Deep Linear Networks
In Poster Session 2
Kun Chen · Dachao Lin · Zhihua Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
In Poster Session 2
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Diversified Adversarial Attacks based on Conjugate Gradient Method
In Poster Session 2
Keiichiro Yamamura · Haruki Sato · Nariaki Tateiwa · Nozomi Hata · Toru Mitsutake · Issa Oe · Hiroki Ishikura · Katsuki Fujisawa
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
In Poster Session 2
Jinxin Zhou · Xiao Li · Tianyu Ding · Chong You · Qing Qu · Zhihui Zhu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
On the Equivalence Between Temporal and Static Equivariant Graph Representations
In Poster Session 2
Jianfei Gao · Bruno Ribeiro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Robust Training under Label Noise by Over-parameterization
In Poster Session 2
Sheng Liu · Zhihui Zhu · Qing Qu · Chong You
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
In Poster Session 2
Mor Shpigel Nacson · Kavya Ravichandran · Nati Srebro · Daniel Soudry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
In Poster Session 2
Tom Tirer · Joan Bruna
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
In Poster Session 2
Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #205
On Numerical Integration in Neural Ordinary Differential Equations
In Poster Session 2
Aiqing Zhu · Pengzhan Jin · Beibei Zhu · Yifa Tang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Reverse Engineering the Neural Tangent Kernel
In Poster Session 2
James B Simon · Sajant Anand · Michael R DeWeese
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #201
Principled Knowledge Extrapolation with GANs
In Poster Session 2
Ruili Feng · Jie Xiao · Kecheng Zheng · Deli Zhao · Jingren Zhou · Qibin Sun · Zheng-Jun Zha
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
In Poster Session 2
Jianyi Yang · Shaolei Ren
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Data Augmentation as Feature Manipulation
In Poster Session 2
Ruoqi Shen · Sebastien Bubeck · Suriya Gunasekar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Convolutional and Residual Networks Provably Contain Lottery Tickets
In Poster Session 2
Rebekka Burkholz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
Feature Learning and Signal Propagation in Deep Neural Networks
In Poster Session 2
Yizhang Lou · Chris Mingard · Soufiane Hayou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
Robust Training of Neural Networks Using Scale Invariant Architectures
In Poster Session 2
Zhiyuan Li · Srinadh Bhojanapalli · Manzil Zaheer · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
Understanding Contrastive Learning Requires Incorporating Inductive Biases
In Poster Session 2
Nikunj Umesh Saunshi · Jordan Ash · Surbhi Goel · Dipendra Kumar Misra · Cyril Zhang · Sanjeev Arora · Sham Kakade · Akshay Krishnamurthy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
In Poster Session 2
Kais HARIZ · Hachem Kadri · Stephane Ayache · Maher Moakher · Thierry Artieres
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
Deep Network Approximation in Terms of Intrinsic Parameters
In Poster Session 2
Zuowei Shen · Haizhao Yang · Shijun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Coin Flipping Neural Networks
In Poster Session 2
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #318
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
In Poster Session 2
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
In Poster Session 2
Alexander Wei · Wei Hu · Jacob Steinhardt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
In Poster Session 2
weitao du · He Zhang · Yuanqi Du · Qi Meng · Wei Chen · Nanning Zheng · Bin Shao · Tie-Yan Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
From data to functa: Your data point is a function and you can treat it like one
In Poster Session 2
Emilien Dupont · Hyunjik Kim · S. M. Ali Eslami · Danilo J. Rezende · Dan Rosenbaum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
In Poster Session 2
Rong Dai · Li Shen · Fengxiang He · Xinmei Tian · Dacheng Tao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Differentiable Top-k Classification Learning
In Poster Session 2
Felix Petersen · Hilde Kuehne · Christian Borgelt · Oliver Deussen
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #330
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
In Poster Session 2
Runpei Dong · Zhanhong Tan · Mengdi Wu · Linfeng Zhang · Kaisheng Ma
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
In Poster Session 2
Nan Wu · Stanislaw Jastrzebski · Kyunghyun Cho · Krzysztof J Geras
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Training Your Sparse Neural Network Better with Any Mask
In Poster Session 2
Ajay Jaiswal · Haoyu Ma · Tianlong Chen · Ying Ding · Zhangyang “Atlas” Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Federated Learning with Positive and Unlabeled Data
In Poster Session 2
Xinyang Lin · Hanting Chen · Yixing Xu · Chao Xu · Xiaolin Gui · Yiping Deng · Yunhe Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Generating 3D Molecules for Target Protein Binding
In Poster Session 2
Meng Liu · Youzhi Luo · Kanji Uchino · Koji Maruhashi · Shuiwang Ji
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
In Poster Session 2
Zheng He · Zeke Xie · Quanzhi Zhu · Zengchang Qin
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
In Poster Session 2
Yikang Zhang · zhuo chen · Zhao Zhong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Revisiting Consistency Regularization for Deep Partial Label Learning
In Poster Session 2
Dong-Dong Wu · Deng-Bao Wang · Min-Ling Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
In Poster Session 2
Camille Garcin · Maximilien Servajean · Alexis Joly · Joseph Salmon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
In Poster Session 2
Yu Pan · Zeyong Su · Ao Liu · Jingquan Wang · Nannan Li · ZENGLIN Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
In Poster Session 2
Changbin Li · Suraj Kothawade · Feng Chen · Rishabh Iyer
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Multicoated Supermasks Enhance Hidden Networks
In Poster Session 2
Yasuyuki Okoshi · Ángel López García-Arias · Kazutoshi Hirose · Kota Ando · Kazushi Kawamura · Thiem Van Chu · Masato Motomura · Jaehoon Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
Generating Distributional Adversarial Examples to Evade Statistical Detectors
In Poster Session 2
Yigitcan Kaya · Muhammad Bilal Zafar · Sergul Aydore · Nathalie Rauschmayr · Krishnaram Kenthapadi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
Improving Out-of-Distribution Robustness via Selective Augmentation
In Poster Session 2
Huaxiu Yao · Yu Wang · Sai Li · Linjun Zhang · Weixin Liang · James Zou · Chelsea Finn
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Modeling Adversarial Noise for Adversarial Training
In Poster Session 2
Dawei Zhou · Nannan Wang · Bo Han · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Improving Adversarial Robustness via Mutual Information Estimation
In Poster Session 2
Dawei Zhou · Nannan Wang · Xinbo Gao · Bo Han · Xiaoyu Wang · Yibing Zhan · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
FOCUS: Familiar Objects in Common and Uncommon Settings
In Poster Session 2
Priyatham Kattakinda · Soheil Feizi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
In Poster Session 2
Deokjae Lee · Seungyong Moon · Junhyeok Lee · Hyun Oh Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
In Poster Session 2
Mohammad Zalbagi Darestani · Jiayu Liu · Reinhard Heckel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
A Dynamical System Perspective for Lipschitz Neural Networks
In Poster Session 2
Laurent Meunier · Blaise Delattre · Alexandre ARAUJO · Alexandre Allauzen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
In Poster Session 2
Alex Fang · Gabriel Ilharco · Mitchell Wortsman · Yuhao Wan · Vaishaal Shankar · Achal Dave · Ludwig Schmidt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Neurotoxin: Durable Backdoors in Federated Learning
In Poster Session 2
Zhengming Zhang · Ashwinee Panda · Linyue Song · Yaoqing Yang · Michael Mahoney · Prateek Mittal · Kannan Ramchandran · Joseph E Gonzalez
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
In Poster Session 2
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
In Poster Session 2
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
Fast Lossless Neural Compression with Integer-Only Discrete Flows
In Poster Session 2
Siyu Wang · Jianfei Chen · Chongxuan Li · Jun Zhu · Bo Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
In Poster Session 2
Yuhta Takida · Takashi Shibuya · WeiHsiang Liao · Chieh-Hsin Lai · Junki Ohmura · Toshimitsu Uesaka · Naoki Murata · Shusuke Takahashi · Toshiyuki Kumakura · Yuki Mitsufuji
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
In Poster Session 2
Giorgio Giannone · Ole Winther
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
In Poster Session 2
Robert Hönig · Yiren Zhao · Robert Mullins
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #408
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
In Poster Session 2
Ling Yang · Shenda Hong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
In Poster Session 2
Yihan Wu · Hongyang Zhang · Heng Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
Modeling Structure with Undirected Neural Networks
In Poster Session 2
Tsvetomila Mihaylova · Vlad Niculae · Andre Filipe Torres Martins
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
Certified Neural Network Watermarks with Randomized Smoothing
In Poster Session 2
Arpit Bansal · Ping-yeh Chiang · Michael Curry · Rajiv Jain · Curtis Wigington · Varun Manjunatha · John P Dickerson · Tom Goldstein
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
In Poster Session 2
Wenxiao Wang · Alexander Levine · Soheil Feizi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Adversarial Vulnerability of Randomized Ensembles
In Poster Session 2
Hassan Dbouk · Naresh Shanbhag
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Robustness Verification for Contrastive Learning
In Poster Session 2
Zekai Wang · Weiwei Liu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #422
The CLRS Algorithmic Reasoning Benchmark
In Poster Session 2
Petar Veličković · Adrià Puigdomenech Badia · David Budden · Razvan Pascanu · Andrea Banino · Misha Dashevskiy · Raia Hadsell · Charles Blundell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
In Poster Session 2
Xiang Li · Renyu Zhu · Yao Cheng · Caihua Shan · Siqiang Luo · Dongsheng Li · Weining Qian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Understanding Robust Generalization in Learning Regular Languages
In Poster Session 2
Soham Dan · Osbert Bastani · Dan Roth
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #428
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
In Poster Session 2
Leo Schwinn · Leon Bungert · An Nguyen · René Raab · Falk Pulsmeyer · Doina Precup · Bjoern Eskofier · Dario Zanca
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
In Poster Session 2
Wenzheng Hou · Qianqian Xu · zhiyong yang · Shilong Bao · Yuan He · Qingming Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
In Poster Session 2
Kazuki Irie · Imanol Schlag · Robert Cordas · Jürgen Schmidhuber
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #436
Short-Term Plasticity Neurons Learning to Learn and Forget
In Poster Session 2
Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #438
$p$-Laplacian Based Graph Neural Networks
In Poster Session 2
Guoji Fu · Peilin Zhao · Yatao Bian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Equivariant Quantum Graph Circuits
In Poster Session 2
Peter Mernyei · Konstantinos Meichanetzidis · Ismail Ceylan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
A Theoretical Comparison of Graph Neural Network Extensions
In Poster Session 2
Pál András Papp · Roger Wattenhofer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Variational On-the-Fly Personalization
In Poster Session 2
Jangho Kim · Jun-Tae Lee · Simyung Chang · NOJUN KWAK
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Deep symbolic regression for recurrence prediction
In Poster Session 2
Stéphane d'Ascoli · Pierre-Alexandre Kamienny · Guillaume Lample · Francois Charton
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Geometric Multimodal Contrastive Representation Learning
In Poster Session 2
Petra Poklukar · Miguel Vasco · Hang Yin · Francisco S. Melo · Ana Paiva · Danica Kragic
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Universality of Winning Tickets: A Renormalization Group Perspective
In Poster Session 2
William T. Redman · Tianlong Chen · Zhangyang “Atlas” Wang · Akshunna S. Dogra
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
In Poster Session 2
Haotao Wang · Aston Zhang · Yi Zhu · Shuai Zheng · Mu Li · Alex Smola · Zhangyang “Atlas” Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Loss Function Learning for Domain Generalization by Implicit Gradient
In Poster Session 2
Boyan Gao · Henry Gouk · Yongxin Yang · Timothy Hospedales
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
In Poster Session 2
Haiyang Yu · Limei Wang · Bokun Wang · Meng Liu · Tianbao Yang · Shuiwang Ji
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
In Poster Session 2
Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
A Differential Entropy Estimator for Training Neural Networks
In Poster Session 2
Georg Pichler · Pierre Colombo · Malik Boudiaf · Günther Koliander · Pablo Piantanida
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
Scaling Out-of-Distribution Detection for Real-World Settings
In Poster Session 2
Dan Hendrycks · Steven Basart · Mantas Mazeika · Andy Zou · joseph kwon · Mohammadreza Mostajabi · Jacob Steinhardt · Dawn Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
In Poster Session 2
Jaehyeong Jo · Seul Lee · Sung Ju Hwang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
In Poster Session 2
Karolis Martinkus · Andreas Loukas · Nathanaël Perraudin · Roger Wattenhofer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
The Infinite Contextual Graph Markov Model
In Poster Session 2
Daniele Castellana · Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
In Poster Session 2
Yu Gong · Greg Mori · Frederick Tung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Detached Error Feedback for Distributed SGD with Random Sparsification
In Poster Session 2
An Xu · Heng Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Training OOD Detectors in their Natural Habitats
In Poster Session 2
Julian Katz-Samuels · Julia Nakhleh · Robert Nowak · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
In Poster Session 2
Weiran Lin · Keane Lucas · Lujo Bauer · Michael Reiter · Mahmood Sharif
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Neural Tangent Kernel Empowered Federated Learning
In Poster Session 2
Kai Yue · Richeng Jin · Ryan Pilgrim · Chau-Wai Wong · Dror Baron · Huaiyu Dai
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
In Poster Session 2
Alex Robey · Luiz F. O. Chamon · George J. Pappas · Hamed Hassani
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
Adversarially trained neural representations are already as robust as biological neural representations
In Poster Session 2
Chong Guo · Michael Lee · Guillaume Leclerc · Joel Dapello · Yug Rao · Aleksander Madry · James DiCarlo
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Feature Space Particle Inference for Neural Network Ensembles
In Poster Session 2
Shingo Yashima · Teppei Suzuki · Kohta Ishikawa · Ikuro Sato · Rei Kawakami
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
In Poster Session 2
Bithika Pal · Arindam Biswas · Sudeshna Kolay · Pabitra Mitra · Biswajit Basu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
In Poster Session 2
Sanghoon Myung · In Huh · Wonik Jang · Jae Myung Choe · Jisu Ryu · Daesin Kim · Kee-Eung Kim · Changwook Jeong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
In Poster Session 2
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
In Poster Session 2
Minyoung Kim · Da Li · Xu Hu · Timothy Hospedales
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
In Poster Session 2
Fabrizio Pittorino · Antonio Ferraro · Gabriele Perugini · Christoph Feinauer · Carlo Baldassi · RIccardo Zecchina
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #516
Towards Understanding Sharpness-Aware Minimization
In Poster Session 2
Maksym Andriushchenko · Nicolas Flammarion
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
In Poster Session 2
Mariia Seleznova · Gitta Kutyniok
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
Implicit Bias of Linear Equivariant Networks
In Poster Session 2
Hannah Lawrence · Bobak T Kiani · Kristian Georgiev · Andrew Dienes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
The State of Sparse Training in Deep Reinforcement Learning
In Poster Session 2
Laura Graesser · Utku Evci · Erich Elsen · Pablo Samuel Castro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
In Poster Session 2
Lily Zhang · Veronica Tozzo · John Higgins · Rajesh Ranganath
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
Datamodels: Understanding Predictions with Data and Data with Predictions
In Poster Session 2
Andrew Ilyas · Sung Min (Sam) Park · Logan Engstrom · Guillaume Leclerc · Aleksander Madry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
In Poster Session 2
Yihua Zhang · Guanhua Zhang · Prashant Khanduri · Mingyi Hong · Shiyu Chang · Sijia Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Deep Causal Metric Learning
In Poster Session 2
Xiang Deng · Zhongfei Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Not All Poisons are Created Equal: Robust Training against Data Poisoning
In Poster Session 2
Yu Yang · Tian Yu Liu · Baharan Mirzasoleiman
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Learning Symmetric Embeddings for Equivariant World Models
In Poster Session 2
Jung Yeon Park · Ondrej Biza · Linfeng Zhao · Jan-Willem van de Meent · Robin Walters
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
In Poster Session 2
Mustafa Burak Gurbuz · Constantine Dovrolis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
In Poster Session 2
Lechao Xiao · Jeffrey Pennington
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
Auxiliary Learning with Joint Task and Data Scheduling
In Poster Session 2
Hong Chen · Xin Wang · Chaoyu Guan · Yue Liu · Wenwu Zhu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
In Poster Session 2
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
In Poster Session 2
Rui Liu · Young Jin Kim · Alexandre Muzio · Hany Hassan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
A New Perspective on the Effects of Spectrum in Graph Neural Networks
In Poster Session 2
Mingqi Yang · Yanming Shen · Rui Li · Heng Qi · Qiang Zhang · Baocai Yin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
In Poster Session 2
Zhaoning Yu · Hongyang Gao
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
Weisfeiler-Lehman Meets Gromov-Wasserstein
In Poster Session 2
Samantha Chen · Sunhyuk Lim · Facundo Memoli · Zhengchao Wan · Yusu Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
GenLabel: Mixup Relabeling using Generative Models
In Poster Session 2
Jy yong Sohn · Liang Shang · Hongxu Chen · Jaekyun Moon · Dimitris Papailiopoulos · Kangwook Lee
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
When and How Mixup Improves Calibration
In Poster Session 2
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · James Zou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
On Transportation of Mini-batches: A Hierarchical Approach
In Poster Session 2
Khai Nguyen · Dang Nguyen · Quoc Nguyen · Tung Pham · Hung Bui · Dinh Phung · Trung Le · Nhat Ho
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
In Poster Session 2
Randy Ardywibowo · Zepeng Huo · Zhangyang “Atlas” Wang · Bobak Mortazavi · Shuai Huang · Xiaoning Qian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
In Poster Session 2
Zhaowei Zhu · Jialu Wang · Yang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
In Poster Session 2
Yiting Cao · Chao Lan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Stable Conformal Prediction Sets
In Poster Session 2
Eugene Ndiaye
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Rethinking Fano’s Inequality in Ensemble Learning
In Poster Session 2
Terufumi Morishita · Gaku Morio · Shota Horiguchi · Hiroaki Ozaki · Nobuo Nukaga
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
In Poster Session 2
Abishek Sankararaman · Balakrishnan Narayanaswamy · Vikramank Singh · Zhao Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Improving Mini-batch Optimal Transport via Partial Transportation
In Poster Session 2
Khai Nguyen · Dang Nguyen · The-Anh Vu-Le · Tung Pham · Nhat Ho
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Near-optimal rate of consistency for linear models with missing values
In Poster Session 2
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
Permutation Search of Tensor Network Structures via Local Sampling
In Poster Session 2
Chao Li · Junhua Zeng · Zerui Tao · Qibin Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
In Poster Session 2
Keshigeyan Chandrasegaran · Ngoc-Trung Tran · Yunqing Zhao · Ngai-Man Cheung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
DNNR: Differential Nearest Neighbors Regression
In Poster Session 2
Youssef Nader · Leon Sixt · Tim Landgraf
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
HyperPrompt: Prompt-based Task-Conditioning of Transformers
In Poster Session 2
Yun He · Steven Zheng · Yi Tay · Jai Gupta · Yu Du · Vamsi Aribandi · Zhe Zhao · Yaguang Li · Zhao Chen · Don Metzler · Heng-Tze Cheng · Ed Chi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #604
Validating Causal Inference Methods
In Poster Session 2
Harsh Parikh · Carlos Varjao · Louise Xu · Eric Tchetgen Tchetgen
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
In Poster Session 2
Hadeel Soliman · Lingfei Zhao · Zhipeng Huang · Subhadeep Paul · Kevin Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Scalable Deep Gaussian Markov Random Fields for General Graphs
In Poster Session 2
Joel Oskarsson · Per Sidén · Fredrik Lindsten
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
In Poster Session 2
Xi Zhang · Akshay Aravamudan · Georgios Anagnostopoulos
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
In Poster Session 2
Wenchao Chen · Long Tian · Bo Chen · Liang Dai · Zhibin Duan · Mingyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Decomposing Temporal High-Order Interactions via Latent ODEs
In Poster Session 2
Shibo Li · Robert Kirby · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
In Poster Session 2
Tal Shnitzer · Mikhail Yurochkin · Kristjan Greenewald · Justin Solomon
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
In Poster Session 2
Jiameng Fan · Wenchao Li
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
In Poster Session 2
Mohammad Taha Bahadori · Eric Tchetgen Tchetgen · David Heckerman
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Role-based Multiplex Network Embedding
In Poster Session 2
Hegui Zhang · Gang Kou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
Measure Estimation in the Barycentric Coding Model
In Poster Session 2
Matthew Werenski · Ruijie Jiang · Abiy Tasissa · Shuchin Aeron · James Murphy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
In Poster Session 2
Victor Chernozhukov · Whitney Newey · Víctor Quintas-Martínez · Vasilis Syrgkanis
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Counterfactual Transportability: A Formal Approach
In Poster Session 2
Juan Correa · Sanghack Lee · Elias Bareinboim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Identification of Linear Non-Gaussian Latent Hierarchical Structure
In Poster Session 2
Feng Xie · Biwei Huang · Zhengming Chen · Yangbo He · zhi geng · Kun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
COAT: Measuring Object Compositionality in Emergent Representations
In Poster Session 2
Sirui Xie · Ari Morcos · Song-Chun Zhu · Shanmukha Ramakrishna Vedantam
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Generalization and Robustness Implications in Object-Centric Learning
In Poster Session 2
Andrea Dittadi · Samuele Papa · Michele De Vita · Bernhard Schölkopf · Ole Winther · Francesco Locatello
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
In Poster Session 2
Wentao Zhang · Zeang Sheng · Mingyu Yang · Yang Li · Yu Shen · Zhi Yang · Bin Cui
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Action-Sufficient State Representation Learning for Control with Structural Constraints
In Poster Session 2
Biwei Huang · Chaochao Lu · Liu Leqi · Jose Miguel Hernandez-Lobato · Clark Glymour · Bernhard Schölkopf · Kun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
In Poster Session 2
Frederik Benzing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
In Poster Session 2
Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Efficient Online ML API Selection for Multi-Label Classification Tasks
In Poster Session 2
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Entropic Causal Inference: Graph Identifiability
In Poster Session 2
Spencer Compton · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Architecture Agnostic Federated Learning for Neural Networks
In Poster Session 2
Disha Makhija · Xing Han · Nhat Ho · Joydeep Ghosh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Conformal Prediction Sets with Limited False Positives
In Poster Session 2
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
Scalable Computation of Causal Bounds
In Poster Session 2
Madhumitha Shridharan · Garud Iyengar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
In Poster Session 2
Piotr Tempczyk · Rafał Michaluk · Łukasz Garncarek · Przemysław Spurek · Jacek Tabor · Adam Golinski
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
In Poster Session 2
Pengjie Gu · Mengchen Zhao · Chen Chen · Dong Li · Jianye Hao · Bo An
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
A Statistical Manifold Framework for Point Cloud Data
In Poster Session 2
Yonghyeon Lee · Seungyeon Kim · Jinwon Choi · Frank Chongwoo Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
In Poster Session 2
Daniel Jarrett · Bogdan Cebere · Tennison Liu · Alicia Curth · Mihaela van der Schaar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Partial Label Learning via Label Influence Function
In Poster Session 2
Xiuwen Gong · Dong Yuan · Wei Bao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
In Poster Session 2
Verónica Álvarez · Santiago Mazuelas · Jose A Lozano
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Understanding Robust Overfitting of Adversarial Training and Beyond
In Poster Session 2
Chaojian Yu · Bo Han · Li Shen · Jun Yu · Chen Gong · Mingming Gong · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
In Poster Session 2
Hugo Lebeau · Romain Couillet · Florent Chatelain
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
In Poster Session 2
Abhineet Agarwal · Yan Shuo Tan · Omer Ronen · Chandan Singh · Bin Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Supervised Learning with General Risk Functionals
In Poster Session 2
Liu Leqi · Audrey Huang · Zachary Lipton · Kamyar Azizzadenesheli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
In Poster Session 2
Ron Dorfman · Kfir Levy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Fast Composite Optimization and Statistical Recovery in Federated Learning
In Poster Session 2
Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
In Poster Session 2
Jingzhao Zhang · Hongzhou Lin · Subhro Das · Suvrit Sra · Ali Jadbabaie
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
In Poster Session 2
Alberto Bietti · Chen-Yu Wei · Miroslav Dudik · John Langford · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
In Poster Session 2
Wei Jiang · Bokun Wang · Yibo Wang · Lijun Zhang · Tianbao Yang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
In Poster Session 2
Bokun Wang · Tianbao Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
In Poster Session 2
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
In Poster Session 2
Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
In Poster Session 2
Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Communication-Efficient Adaptive Federated Learning
In Poster Session 2
Yujia Wang · Lu Lin · Jinghui Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
In Poster Session 2
Yair Carmon · Arun Jambulapati · Yujia Jin · Aaron Sidford
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
In Poster Session 2
Yuanyuan Liu · Fanhua Shang · Weixin An · Hongying Liu · Zhouchen Lin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Accelerated Federated Learning with Decoupled Adaptive Optimization
In Poster Session 2
Jiayin Jin · Jiaxiang Ren · Yang Zhou · Lingjuan Lyu · Ji Liu · Dejing Dou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
In Poster Session 2
Sadegh Farhadkhani · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
TSPipe: Learn from Teacher Faster with Pipelines
In Poster Session 2
Hwijoon Lim · Yechan Kim · Sukmin Yun · Jinwoo Shin · Dongsu Han
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Personalized Federated Learning through Local Memorization
In Poster Session 2
Othmane Marfoq · Giovanni Neglia · Richard Vidal · Laetitia Kameni
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
In Poster Session 2
Yi Wang · Zhiren Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
In Poster Session 2
Risheng Liu · Xuan Liu · Shangzhi Zeng · Jin Zhang · Yixuan ZHANG
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Generalizing Gaussian Smoothing for Random Search
In Poster Session 2
Katelyn Gao · Ozan Sener
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
A General Recipe for Likelihood-free Bayesian Optimization
In Poster Session 2
Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
In Poster Session 2
Theodore Papalexopoulos · Christian Tjandraatmadja · Ross Anderson · Juan Pablo Vielma · David Belanger
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Risk-Averse No-Regret Learning in Online Convex Games
In Poster Session 2
Zifan Wang · Yi Shen · Michael Zavlanos
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
In Poster Session 2
Xin Chen · Yujie Tang · Na Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Robust Multi-Objective Bayesian Optimization Under Input Noise
In Poster Session 2
Samuel Daulton · Sait Cakmak · Maximilian Balandat · Michael A Osborne · Enlu Zhou · Eytan Bakshy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
In Poster Session 2
Wanli Shi · Hongchang Gao · Bin Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
In Poster Session 2
Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
The power of first-order smooth optimization for black-box non-smooth problems
In Poster Session 2
Alexander Gasnikov · Anton Novitskii · Vasilii Novitskii · Farshed Abdukhakimov · Dmitry Kamzolov · Aleksandr Beznosikov · Martin Takac · Pavel Dvurechenskii · Bin Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
In Poster Session 2
Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Surrogate Likelihoods for Variational Annealed Importance Sampling
In Poster Session 2
Martin Jankowiak · Du Phan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
In Poster Session 2
Conor Tillinghast · Zheng Wang · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #723
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
In Poster Session 2
Feynman Liang · Michael Mahoney · Liam Hodgkinson
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Variational Sparse Coding with Learned Thresholding
In Poster Session 2
Kion Fallah · Christopher Rozell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Structured Stochastic Gradient MCMC
In Poster Session 2
Antonios Alexos · Alex Boyd · Stephan Mandt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
In Poster Session 2
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
In Poster Session 2
Tomas Geffner · Justin Domke
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #713
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
In Poster Session 2
Mao Ye · Qiang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Deep Reference Priors: What is the best way to pretrain a model?
In Poster Session 2
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Bayesian Continuous-Time Tucker Decomposition
In Poster Session 2
Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Approximate Bayesian Computation with Domain Expert in the Loop
In Poster Session 2
Ayush Bharti · Louis Filstroff · Samuel Kaski
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Discrete Probabilistic Inverse Optimal Transport
In Poster Session 2
Wei-Ting Chiu · Pei Wang · Patrick Shafto
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
In Poster Session 2
Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Streaming Inference for Infinite Feature Models
In Poster Session 2
Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
In Poster Session 2
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Function-space Inference with Sparse Implicit Processes
In Poster Session 2
Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Variational Inference for Infinitely Deep Neural Networks
In Poster Session 2
Achille Nazaret · David Blei
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Personalized Federated Learning via Variational Bayesian Inference
In Poster Session 2
Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
In Poster Session 2
Jiri Hron · Roman Novak · Jeffrey Pennington · Jascha Sohl-Dickstein
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Bayesian Deep Embedding Topic Meta-Learner
In Poster Session 2
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
In Poster Session 2
Yohan Jung · Kyungwoo Song · Jinkyoo Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
In Poster Session 2
Athul Paul Jacob · David Wu · Gabriele Farina · Adam Lerer · Hengyuan Hu · Anton Bakhtin · Jacob Andreas · Noam Brown
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
In Poster Session 2
Vladislav Kurenkov · Sergey Kolesnikov
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
In Poster Session 2
Yunfei Li · Tian Gao · Jiaqi Yang · Huazhe Xu · Yi Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #822
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
In Poster Session 2
Qi Wang · Herke van Hoof
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #824
Generalized Data Distribution Iteration
In Poster Session 2
Jiajun Fan · Changnan Xiao
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Optimizing Tensor Network Contraction Using Reinforcement Learning
In Poster Session 2
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
History Compression via Language Models in Reinforcement Learning
In Poster Session 2
Fabian Paischer · Thomas Adler · Vihang Patil · Angela Bitto-Nemling · Markus Holzleitner · Sebastian Lehner · Hamid Eghbal-zadeh · Sepp Hochreiter
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
In Poster Session 2
Xingyu Liu · Deepak Pathak · Kris Kitani
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
In Poster Session 2
David Ireland · Giovanni Montana
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Efficient Learning for AlphaZero via Path Consistency
In Poster Session 2
Dengwei Zhao · Shikui Tu · Lei Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
A data-driven approach for learning to control computers
In Poster Session 2
Peter Humphreys · David Raposo · Tobias Pohlen · Gregory Thornton · Rachita Chhaparia · Alistair Muldal · Josh Abramson · Petko Georgiev · Adam Santoro · Timothy Lillicrap
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Zero-Shot Reward Specification via Grounded Natural Language
In Poster Session 2
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
In Poster Session 2
Augustine Mavor-Parker · Kimberly Young · Caswell Barry · Lewis Griffin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
In Poster Session 2
Angelos Filos · Eszter Vértes · Zita Marinho · Gregory Farquhar · Diana Borsa · Abe Friesen · Feryal Behbahani · Tom Schaul · Andre Barreto · Simon Osindero
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Improving Policy Optimization with Generalist-Specialist Learning
In Poster Session 2
Zhiwei Jia · Xuanlin Li · Zhan Ling · Shuang Liu · Yiran Wu · Hao Su
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
In Poster Session 2
Yunhao Tang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Analysis of Stochastic Processes through Replay Buffers
In Poster Session 2
Shirli Di-Castro Shashua · Shie Mannor · Dotan Di Castro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
In Poster Session 2
Yingjie Fei · Ruitu Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Communicating via Markov Decision Processes
In Poster Session 2
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
In Poster Session 2
Matilde Gargiani · Andrea Zanelli · Andrea Martinelli · Tyler Summers · John Lygeros
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
In Poster Session 2
Hassam Sheikh · Kizza Nandyose Frisbee · mariano phielipp
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Planning with Diffusion for Flexible Behavior Synthesis
In Poster Session 2
Michael Janner · Yilun Du · Josh Tenenbaum · Sergey Levine
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
A Temporal-Difference Approach to Policy Gradient Estimation
In Poster Session 2
Samuele Tosatto · Andrew Patterson · Martha White · A. Mahmood
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
In Poster Session 2
JEON JEEWON · WOOJUN KIM · Whiyoung Jung · Youngchul Sung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
In Poster Session 2
Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Actor-Critic based Improper Reinforcement Learning
In Poster Session 2
Mohammadi Zaki · Avi Mohan · Aditya Gopalan · Shie Mannor
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
In Poster Session 2
Yuanzhou Chen · Jiafan He · Quanquan Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #805
The Geometry of Robust Value Functions
In Poster Session 2
Kaixin Wang · Navdeep Kumar · Kuangqi Zhou · Bryan Hooi · Jiashi Feng · Shie Mannor
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Denoised MDPs: Learning World Models Better Than the World Itself
In Poster Session 2
Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
In Poster Session 2
Lipeng Wan · Zeyang Liu · Xingyu Chen · Xuguang Lan · Nanning Zheng
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Bayesian Nonparametrics for Offline Skill Discovery
In Poster Session 2
Valentin Villecroze · Harry Braviner · Panteha Naderian · Chris Maddison · Gabriel Loaiza-Ganem
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
In Poster Session 2
James-Michael Leahy · Bekzhan Kerimkulov · David Siska · Lukasz Szpruch
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Curriculum Reinforcement Learning via Constrained Optimal Transport
In Poster Session 2
Pascal Klink · Haoyi Yang · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
In Poster Session 2
Tianwei Ni · Benjamin Eysenbach · Ruslan Salakhutdinov
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
In Poster Session 2
Andrea Zanette · Martin Wainwright
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Constrained Offline Policy Optimization
In Poster Session 2
Nicholas Polosky · Bruno C. da Silva · Madalina Fiterau · Jithin Jagannath
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
Causal Dynamics Learning for Task-Independent State Abstraction
In Poster Session 2
Zizhao Wang · Xuesu Xiao · Zifan Xu · Yuke Zhu · Peter Stone
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
In Poster Session 2
Lin Guan · Sarath Sreedharan · Subbarao Kambhampati
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Reinforcement Learning with Action-Free Pre-Training from Videos
In Poster Session 2
Younggyo Seo · Kimin Lee · Stephen James · Pieter Abbeel
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
In Poster Session 2
Yi Wan · Ali Rahimi-Kalahroudi · Janarthanan Rajendran · Ida Momennejad · Sarath Chandar · Harm van Seijen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Delayed Reinforcement Learning by Imitation
In Poster Session 2
Pierre Liotet · Davide Maran · Lorenzo Bisi · Marcello Restelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #922
Reachability Constrained Reinforcement Learning
In Poster Session 2
Dongjie Yu · Haitong Ma · Shengbo Li · Jianyu Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
Adaptive Model Design for Markov Decision Process
In Poster Session 2
Siyu Chen · Donglin Yang · Jiayang Li · Senmiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Goal Misgeneralization in Deep Reinforcement Learning
In Poster Session 2
Lauro Langosco di Langosco · Jack Koch · Lee Sharkey · Jacob Pfau · David Krueger
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
A Natural Actor-Critic Framework for Zero-Sum Markov Games
In Poster Session 2
Ahmet Alacaoglu · Luca Viano · Niao He · Volkan Cevher
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Distributionally Robust $Q$-Learning
In Poster Session 2
Zijian Liu · Jerry Bai · Jose Blanchet · Perry Dong · Wei Xu · Zhengqing Zhou · Zhengyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Sparsity in Partially Controllable Linear Systems
In Poster Session 2
Yonathan Efroni · Sham Kakade · Akshay Krishnamurthy · Cyril Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Virtual #934
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
In Poster Session 2
Aivar Sootla · Alexander I Cowen-Rivers · Taher Jafferjee · Ziyan Wang · David Mguni · Jun Wang · Haitham Bou Ammar
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
In Poster Session 2
Jan Macdonald · Mathieu Besançon · Sebastian Pokutta
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Label-Free Explainability for Unsupervised Models
In Poster Session 2
Jonathan Crabbé · Mihaela van der Schaar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
In Poster Session 2
Jie Ren · Mingjie Li · Meng Zhou · Shih-Han Chan · Quanshi Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
A Study of Face Obfuscation in ImageNet
In Poster Session 2
Kaiyu Yang · Jacqueline Yau · Li Fei-Fei · Jia Deng · Olga Russakovsky
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Fair Representation Learning through Implicit Path Alignment
In Poster Session 2
Changjian Shui · Qi CHEN · Jiaqi Li · Boyu Wang · Christian Gagne
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
Mitigating Neural Network Overconfidence with Logit Normalization
In Poster Session 2
Hongxin Wei · RENCHUNZI XIE · Hao Cheng · LEI FENG · Bo An · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Learning fair representation with a parametric integral probability metric
In Poster Session 2
Dongha Kim · Kunwoong Kim · Insung Kong · Ilsang Ohn · Yongdai Kim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Privacy for Free: How does Dataset Condensation Help Privacy?
In Poster Session 2
Tian Dong · Bo Zhao · Lingjuan Lyu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
Fair Generalized Linear Models with a Convex Penalty
In Poster Session 2
Hyungrok Do · Preston Putzel · Axel Martin · Padhraic Smyth · Judy Zhong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Tight and Robust Private Mean Estimation with Few Users
In Poster Session 2
Shyam Narayanan · Vahab Mirrokni · Hossein Esfandiari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
In Poster Session 2
Liping Yi · Wang Gang · Liu Xiaoguang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
In Poster Session 2
Tianyu Pang · Min Lin · Xiao Yang · Jun Zhu · Shuicheng Yan
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
Sanity Simulations for Saliency Methods
In Poster Session 2
Joon Kim · Gregory Plumb · Ameet Talwalkar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Out-of-Distribution Detection with Deep Nearest Neighbors
In Poster Session 2
Yiyou Sun · Yifei Ming · Jerry Zhu · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
Differentially Private Maximal Information Coefficients
In Poster Session 2
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
In Poster Session 2
Gautam Kamath · Xingtu Liu · Huanyu Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
In Poster Session 2
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
In Poster Session 2
Xilie Xu · Jingfeng Zhang · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Certified Adversarial Robustness Under the Bounded Support Set
In Poster Session 2
Yiwen Kou · Qinyuan Zheng · Yisen Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Predicting Out-of-Distribution Error with the Projection Norm
In Poster Session 2
Yaodong Yu · Zitong Yang · Alexander Wei · Yi Ma · Jacob Steinhardt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
In Poster Session 2
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Improved Regret for Differentially Private Exploration in Linear MDP
In Poster Session 2
Dung Ngo · Giuseppe Vietri · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
Differentially Private Community Detection for Stochastic Block Models
In Poster Session 2
Mohamed Mohamed · Dung Nguyen · Anil Vullikanti · Ravi Tandon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
In Poster Session 2
xinwei zhang · Xiangyi Chen · Mingyi Hong · Steven Wu · Jinfeng Yi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Hermite Polynomial Features for Private Data Generation
In Poster Session 2
Margarita Vinaroz · Mohammad-Amin Charusaie · Frederik Harder · Kamil Adamczewski · Mi Jung Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
In Poster Session 2
Mantas Mazeika · Bo Li · David Forsyth
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Deduplicating Training Data Mitigates Privacy Risks in Language Models
In Poster Session 2
Nikhil Kandpal · Eric Wallace · Colin Raffel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Private frequency estimation via projective geometry
In Poster Session 2
Vitaly Feldman · Jelani Nelson · Huy Nguyen · Kunal Talwar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
In Poster Session 2
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Faster Privacy Accounting via Evolving Discretization
In Poster Session 2
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
In Poster Session 2
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1015
Private Adaptive Optimization with Side information
In Poster Session 2
Tian Li · Manzil Zaheer · Sashank Jakkam Reddi · Virginia Smith
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1013
Secure Quantized Training for Deep Learning
In Poster Session 2
Marcel Keller · Ke Sun
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Private optimization in the interpolation regime: faster rates and hardness results
In Poster Session 2
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
In Poster Session 2
Paul Mangold · Aurélien Bellet · Joseph Salmon · Marc Tommasi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
In Poster Session 2
Yuxuan Han · Zhicong Liang · Zhipeng Liang · Yang Wang · Yuan Yao · Jiheng Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Learning Domain Adaptive Object Detection with Probabilistic Teacher
In Poster Session 2
Meilin Chen · Weijie Chen · Shicai Yang · Jie Song · Xinchao Wang · Lei Zhang · Yunfeng Yan · Donglian Qi · Yueting Zhuang · Di Xie · Shiliang Pu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Adaptive Data Analysis with Correlated Observations
In Poster Session 2
Aryeh Kontorovich · Menachem Sadigurschi · Uri Stemmer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Efficient PAC Learning from the Crowd with Pairwise Comparisons
In Poster Session 2
Shiwei Zeng · Jie Shen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
On the Statistical Benefits of Curriculum Learning
In Poster Session 2
Ziping Xu · Ambuj Tewari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Feature and Parameter Selection in Stochastic Linear Bandits
In Poster Session 2
Ahmadreza Moradipari · Berkay Turan · Yasin Abbasi-Yadkori · Mahnoosh Alizadeh · Mohammad Ghavamzadeh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1112
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
In Poster Session 2
Zhengquan Luo · Yunlong Wang · Zilei Wang · Zhenan Sun · Tieniu Tan
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
A new similarity measure for covariate shift with applications to nonparametric regression
In Poster Session 2
Reese Pathak · Cong Ma · Martin Wainwright
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Contextual Bandits with Large Action Spaces: Made Practical
In Poster Session 2
Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Identifiability Conditions for Domain Adaptation
In Poster Session 2
Ishaan Gulrajani · Tatsunori Hashimoto
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Streaming Algorithms for High-Dimensional Robust Statistics
In Poster Session 2
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
Popular decision tree algorithms are provably noise tolerant
In Poster Session 2
Guy Blanc · Jane Lange · Ali Malik · Li-Yang Tan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
In Poster Session 2
Lingbing Guo · Qiang Zhang · Zequn Sun · Mingyang Chen · Wei Hu · Huajun Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
In Poster Session 2
Mayee Chen · Daniel Y Fu · Avanika Narayan · Michael Zhang · Zhao Song · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
In Poster Session 2
Haotian Ju · Dongyue Li · Hongyang Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
In Poster Session 2
Haoxiang Wang · Bo Li · Han Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
In Poster Session 2
Chengchun Shi · Masatoshi Uehara · Jiawei Huang · Nan Jiang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
In Poster Session 2
Chi Jin · Qinghua Liu · Tiancheng Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Extracting Latent State Representations with Linear Dynamics from Rich Observations
In Poster Session 2
Abraham Frandsen · Rong Ge · Holden Lee
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
In Poster Session 2
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
In Poster Session 2
Nelson Vadori · Rahul Savani · Thomas Spooner · Sumitra Ganesh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
In Poster Session 2
Qinghua Liu · Yuanhao Wang · Chi Jin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
In Poster Session 2
Keegan Harris · Dung Ngo · Logan Stapleton · Hoda Heidari · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Learning to Infer Structures of Network Games
In Poster Session 2
Emanuele Rossi · Federico Monti · Yan Leng · Michael Bronstein · Xiaowen Dong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
In Poster Session 2
Pihe Hu · Yu Chen · Longbo Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1103
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
In Poster Session 2
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
In Poster Session 2
Chris Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1208
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
In Poster Session 2
Marc Jourdan · Rémy Degenne
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
On the Finite-Time Performance of the Knowledge Gradient Algorithm
In Poster Session 2
Yanwen Li · Siyang Gao
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
In Poster Session 2
Liang Zhang · Qiang Wu · Jun Shen · Linyuan Lü · Bo Du · Jianqing Wu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
In Poster Session 2
Liam Hodgkinson · Umut Simsekli · Rajiv Khanna · Michael Mahoney
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
No-Regret Learning in Time-Varying Zero-Sum Games
In Poster Session 2
Mengxiao Zhang · Peng Zhao · Haipeng Luo · Zhi-Hua Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Achieving Minimax Rates in Pool-Based Batch Active Learning
In Poster Session 2
Claudio Gentile · Zhilei Wang · Tong Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
Active Multi-Task Representation Learning
In Poster Session 2
Yifang Chen · Kevin Jamieson · Simon Du
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
Active fairness auditing
In Poster Session 2
Tom Yan · Chicheng Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Metric-Fair Active Learning
In Poster Session 2
Jie Shen · Nan Cui · Jing Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Metric-Fair Classifier Derandomization
In Poster Session 2
Jimmy Wu · Yatong Chen · Yang Liu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Interactively Learning Preference Constraints in Linear Bandits
In Poster Session 2
David Lindner · Sebastian Tschiatschek · Katja Hofmann · Andreas Krause
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Convergence of Uncertainty Sampling for Active Learning
In Poster Session 2
Anant Raj · Francis Bach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Thompson Sampling for Robust Transfer in Multi-Task Bandits
In Poster Session 2
Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Constants Matter: The Performance Gains of Active Learning
In Poster Session 2
Stephen Mussmann · Sanjoy Dasgupta
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Cross-Space Active Learning on Graph Convolutional Networks
In Poster Session 2
Yufei Tao · Hao WU · Shiyuan Deng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
Generative Trees: Adversarial and Copycat
In Poster Session 2
Richard Nock · Mathieu Guillame-Bert
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
A Resilient Distributed Boosting Algorithm
In Poster Session 2
Yuval filmus · Idan Mehalel · Shay Moran
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
In Poster Session 2
Huiwen Jia · Cong Shi · Siqian Shen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
In Poster Session 2
Xiaohong Chen · Zhengling Qi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Congested Bandits: Optimal Routing via Short-term Resets
In Poster Session 2
Pranjal Awasthi · Kush Bhatia · Sreenivas Gollapudi · Kostas Kollias
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Stochastic Rising Bandits
In Poster Session 2
Alberto Maria Metelli · Francesco Trovò · Matteo Pirola · Marcello Restelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Agnostic Learnability of Halfspaces via Logistic Loss
In Poster Session 2
Ziwei Ji · Kwangjun Ahn · Pranjal Awasthi · Satyen Kale · Stefani Karp
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
In Poster Session 2
Bruno Loureiro · Cedric Gerbelot · Maria Refinetti · Gabriele Sicuro · FLORENT KRZAKALA
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1319
PDE-Based Optimal Strategy for Unconstrained Online Learning
In Poster Session 2
Zhiyu Zhang · Ashok Cutkosky · Ioannis Paschalidis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1317
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
In Poster Session 2
Jun-Kun Wang · Chi-Heng Lin · Andre Wibisono · Bin Hu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1315
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
In Poster Session 2
Soumyabrata Pal · Arya Mazumdar · Rajat Sen · Avishek Ghosh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1309
Random Forest Density Estimation
In Poster Session 2
Hongwei Wen · Hanyuan Hang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1311
The dynamics of representation learning in shallow, non-linear autoencoders
In Poster Session 2
Maria Refinetti · Sebastian Goldt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1409
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
In Poster Session 2
Noam Razin · Asaf Maman · Nadav Cohen
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1414
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
In Poster Session 2
Ramji Venkataramanan · Kevin Kögler · Marco Mondelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1416
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
In Poster Session 2
Umberto M. Tomasini · Antonio Sclocchi · Matthieu Wyart
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1418
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
In Poster Session 2
Daniel Vial · Advait Parulekar · Sanjay Shakkottai · R Srikant
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1411
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
In Poster Session 2
Michael Puthawala · Matti Lassas · Ivan Dokmanic · Maarten de Hoop
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1413
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
In Poster Session 2
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1420
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
In Poster Session 2
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1422
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
In Poster Session 2
Andrew Saxe · Shagun Sodhani · Sam Lewallen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1424
Efficient Learning of CNNs using Patch Based Features
In Poster Session 2
Alon Brutzkus · Amir Globerson · Eran Malach · Alon Regev Netser · Shai Shalev-Shwartz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1426
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
In Poster Session 2
Jongmin Lee · Joo Young Choi · Ernest Ryu · Albert No
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1428
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
In Poster Session 2
Yu Huang · Junyang Lin · Chang Zhou · Hongxia Yang · Longbo Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1430
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
In Poster Session 2
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1432
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
In Poster Session 2
Feix Biggs · Benjamin Guedj
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1434
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
In Poster Session 2
Sebastian Lee · Stefano Sarao Mannelli · Claudia Clopath · Sebastian Goldt · Andrew Saxe
[ Slides]  [ Poster]  [ Paper PDF] 
Session
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E
Poster Session 2
Break
Thu Jul 21 03:30 AM -- 03:45 AM (PDT) None
Breakfast on your own
Invited Talk
Thu Jul 21 06:00 AM -- 07:00 AM (PDT) @ Hall F None
Design for Inference in Drug Discovery and Development
Aviv Regev
Break
Thu Jul 21 07:00 AM -- 07:30 AM (PDT)
Coffee Break
Oral
Thu Jul 21 07:30 AM -- 07:50 AM (PDT) @ Ballroom 3 & 4
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
In T: Bandits/Online Learning/Reinforcement Learning
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
Oral
Thu Jul 21 07:30 AM -- 07:50 AM (PDT) @ Room 307
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
In Theory/Social Aspects
sajad khodadadian · PRANAY SHARMA · Gauri Joshi · Siva Maguluri
Oral
Thu Jul 21 07:30 AM -- 07:50 AM (PDT) @ Hall G None
The Importance of Non-Markovianity in Maximum State Entropy Exploration
In Reinforcement Learning
Mirco Mutti · Riccardo De Santi · Marcello Restelli
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2 None
Deep Learning
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4 None
T: Bandits/Online Learning/Reinforcement Learning
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Hall F None
APP: Physics/Computer Vision
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Hall G None
Reinforcement Learning
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 301 - 303 None
DL: Generative Models and Autoencoders
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 307 None
Theory/Social Aspects
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 309 None
Miscellaneous Aspects of Machine Learning
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 318 - 320 None
Deep Learning/Optimization
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 327 - 329 None
MISC/Deep Learning
Session
Thu Jul 21 07:30 AM -- 09:00 AM (PDT) @ Room 310 None
Optimization/Reinforcement Learning
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 327 - 329
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
In MISC/Deep Learning
Namuk Park · Songkuk Kim
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Does the Data Induce Capacity Control in Deep Learning?
In Deep Learning
Rubing Yang · Jialin Mao · Pratik Chaudhari
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Hall F
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
In APP: Physics/Computer Vision
Steffen Schotthöfer · Tianbai Xiao · Martin Frank · Cory Hauck
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 310
Adapting k-means Algorithms for Outliers
In Optimization/Reinforcement Learning
Christoph Grunau · Vaclav Rozhon
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 309
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
In Miscellaneous Aspects of Machine Learning
Shuo Yang · Erkun Yang · Bo Han · Yang Liu · Min Xu · Gang Niu · Tongliang Liu
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Equivariance versus Augmentation for Spherical Images
In Deep Learning/Optimization
Jan Gerken · Oscar Carlsson · Hampus Linander · Fredrik Ohlsson · Christoffer Petersson · Daniel Persson
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 301 - 303
A Neural Tangent Kernel Perspective of GANs
In DL: Generative Models and Autoencoders
Jean-Yves Franceschi · Emmanuel de Bézenac · Ibrahim Ayed · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 301 - 303
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
In DL: Generative Models and Autoencoders
Jen-Hao Rick Chang · Ashish Shrivastava · Hema Koppula · Xiaoshuai Zhang · Oncel Tuzel
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Hall F
Composing Partial Differential Equations with Physics-Aware Neural Networks
In APP: Physics/Computer Vision
Matthias Karlbauer · Timothy Praditia · Sebastian Otte · Sergey Oladyshkin · Wolfgang Nowak · Martin V Butz
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 310
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
In Optimization/Reinforcement Learning
Karan Chadha · Gary Cheng · John Duchi
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 309
Invariant Ancestry Search
In Miscellaneous Aspects of Machine Learning
Phillip Bredahl Mogensen · Nikolaj Thams · Jonas Peters
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
In Deep Learning
Chuan Wen · Jianing Qian · Jierui Lin · Jiaye Teng · Dinesh Jayaraman · Yang Gao
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
In Deep Learning/Optimization
Charbel Sakr · Steve Dai · Rangha Venkatesan · Brian Zimmer · William Dally · Brucek Khailany
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 327 - 329
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
In MISC/Deep Learning
Julian Bitterwolf · Alexander Meinke · Maximilian Augustin · Matthias Hein
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Memory-Based Model Editing at Scale
In Deep Learning
Eric Mitchell · Charles Lin · Antoine Bosselut · Christopher Manning · Chelsea Finn
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 310
Online Algorithms with Multiple Predictions
In Optimization/Reinforcement Learning
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
In Deep Learning/Optimization
Moein Khajehnejad · Forough Habibollahi · Richard Nock · Ehsan Arabzadeh · Peter Dayan · Amir Dezfouli
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 301 - 303
Neural Inverse Transform Sampler
In DL: Generative Models and Autoencoders
Henry Li · Yuval Kluger
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 309
Unaligned Supervision for Automatic Music Transcription in The Wild
In Miscellaneous Aspects of Machine Learning
Ben Maman · Amit Bermano
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 327 - 329
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
In MISC/Deep Learning
Hidetaka Kamigaito · Katsuhiko Hayashi
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Hall F
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
In APP: Physics/Computer Vision
Uri Alon · Frank Xu · Junxian He · Sudipta Sengupta · Dan Roth · Graham Neubig
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Hall F
Towards Coherent and Consistent Use of Entities in Narrative Generation
In APP: Physics/Computer Vision
Pinelopi Papalampidi · Kris Cao · Tomas Kocisky
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
In Deep Learning
John Rachwan · Daniel Zügner · Bertrand Charpentier · Simon Geisler · Morgane Ayle · Stephan Günnemann
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 309
Fourier Learning with Cyclical Data
In Miscellaneous Aspects of Machine Learning
Yingxiang Yang · Zhihan Xiong · Tianyi Liu · Taiqing Wang · Chong Wang
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
In Deep Learning/Optimization
Huan Zhang · Shiqi Wang · Kaidi Xu · Yihan Wang · Suman Jana · Cho-Jui Hsieh · Zico Kolter
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 327 - 329
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
In MISC/Deep Learning
Tianlong Chen · Huan Zhang · Zhenyu Zhang · Shiyu Chang · Sijia Liu · Pin-Yu Chen · Zhangyang “Atlas” Wang
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 310
Parsimonious Learning-Augmented Caching
In Optimization/Reinforcement Learning
Sungjin Im · Ravi Kumar · Aditya Petety · Manish Purohit
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 301 - 303
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
In DL: Generative Models and Autoencoders
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 307
Entropic Gromov-Wasserstein between Gaussian Distributions
In Theory/Social Aspects
Khang Le · Dung Le · Huy Nguyen · · Tung Pham · Nhat Ho
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Hall G
Continuous Control with Action Quantization from Demonstrations
In Reinforcement Learning
Robert Dadashi · Léonard Hussenot · Damien Vincent · Sertan Girgin · Anton Raichuk · Matthieu Geist · Olivier Pietquin
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
In T: Bandits/Online Learning/Reinforcement Learning
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
In MISC/Deep Learning
Lu Bai · Lixin Cui · Edwin Hancock
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 309
Linear Adversarial Concept Erasure
In Miscellaneous Aspects of Machine Learning
Shaul Ravfogel · Michael Twiton · Yoav Goldberg · Ryan Cotterell
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 310
RUMs from Head-to-Head Contests
In Optimization/Reinforcement Learning
Matteo Almanza · Flavio Chierichetti · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
GACT: Activation Compressed Training for Generic Network Architectures
In Deep Learning/Optimization
Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
In Deep Learning
Guy Hacohen · Avihu Dekel · Daphna Weinshall
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Hall F
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
In APP: Physics/Computer Vision
Shiran Zada · Itay Benou · Michal Irani
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
Diffusion Models for Adversarial Purification
In DL: Generative Models and Autoencoders
Weili Nie · Brandon Guo · Yujia Huang · Chaowei Xiao · Arash Vahdat · Animashree Anandkumar
Oral
Thu Jul 21 07:55 AM -- 08:15 AM (PDT) @ Room 309
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
In Miscellaneous Aspects of Machine Learning
Paul Rolland · Volkan Cevher · Matthäus Kleindessner · Chris Russell · Dominik Janzing · Bernhard Schölkopf · Francesco Locatello
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
Shuffle Private Linear Contextual Bandits
In T: Bandits/Online Learning/Reinforcement Learning
Sayak Ray Chowdhury · Xingyu Zhou
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Hall G
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
In Reinforcement Learning
Minghuan Liu · Zhengbang Zhu · Yuzheng Zhuang · Weinan Zhang · Jianye Hao · Yong Yu · Jun Wang
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 307
No-Regret Learning in Partially-Informed Auctions
In Theory/Social Aspects
Wenshuo Guo · Michael Jordan · Ellen Vitercik
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Hall F
Optimally Controllable Perceptual Lossy Compression
In APP: Physics/Computer Vision
Zeyu Yan · Fei Wen · Peilin Liu
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
Fast Finite Width Neural Tangent Kernel
In Deep Learning/Optimization
Roman Novak · Jascha Sohl-Dickstein · Samuel Schoenholz
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
In Deep Learning
Byunggook Na · Jisoo Mok · Seongsik Park · Dongjin Lee · Hyeokjun Choe · Sungroh Yoon
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
In MISC/Deep Learning
David Woodruff · Amir Zandieh
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
In DL: Generative Models and Autoencoders
Junwen Bai · Shufeng Kong · Carla Gomes
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 310
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
In Optimization/Reinforcement Learning
Rahul Mazumder · Xiang Meng · Haoyue Wang
Oral
Thu Jul 21 08:00 AM -- 08:20 AM (PDT) @ Room 327 - 329
Random Gegenbauer Features for Scalable Kernel Methods
In MISC/Deep Learning
Insu Han · Amir Zandieh · Haim Avron
Oral
Thu Jul 21 08:00 AM -- 08:20 AM (PDT) @ Room 318 - 320 None
G-Mixup: Graph Data Augmentation for Graph Classification
In Deep Learning/Optimization
Xiaotian Han · Zhimeng Jiang · Ninghao Liu · Xia Hu
Oral
Thu Jul 21 08:00 AM -- 08:20 AM (PDT) @ Ballroom 1 & 2
Overcoming Oscillations in Quantization-Aware Training
In Deep Learning
Markus Nagel · Marios Fournarakis · Yelysei Bondarenko · Tijmen Blankevoort
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 307
On Last-Iterate Convergence Beyond Zero-Sum Games
In Theory/Social Aspects
Ioannis Anagnostides · Ioannis Panageas · Gabriele Farina · Tuomas Sandholm
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Hall G
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
In Reinforcement Learning
Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
In T: Bandits/Online Learning/Reinforcement Learning
Laixi Shi · Gen Li · Yuting Wei · Yuxin Chen · Yuejie Chi
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 301 - 303
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
In DL: Generative Models and Autoencoders
Tathagat Verma · Abir De · Yateesh Agrawal · Vishwa Vinay · Soumen Chakrabarti
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Hall F
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
In APP: Physics/Computer Vision
QINGQING ZHAO · David B. Lindell · Gordon Wetzstein
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 310
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
In Optimization/Reinforcement Learning
Cedric Malherbe · Kevin Scaman
Oral
Thu Jul 21 08:05 AM -- 08:25 AM (PDT) @ Hall F
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
In APP: Physics/Computer Vision
Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan
Oral
Thu Jul 21 08:05 AM -- 08:25 AM (PDT) @ Room 301 - 303
It’s Raw! Audio Generation with State-Space Models
In DL: Generative Models and Autoencoders
Karan Goel · Albert Gu · Chris Donahue · Christopher Re
Oral
Thu Jul 21 08:05 AM -- 08:25 AM (PDT) @ Room 310
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
In Optimization/Reinforcement Learning
Simone Parisi · Aravind Rajeswaran · Senthil Purushwalkam · Abhinav Gupta
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Ballroom 3 & 4
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
In T: Bandits/Online Learning/Reinforcement Learning
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Room 307
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
In Theory/Social Aspects
Gabriele Farina · Chung-Wei Lee · Haipeng Luo · Christian Kroer
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Hall G
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
In Reinforcement Learning
Angelo Damiani · Giorgio Manganini · Alberto Maria Metelli · Marcello Restelli
Oral
Thu Jul 21 08:10 AM -- 08:30 AM (PDT) @ Ballroom 3 & 4
Label Ranking through Nonparametric Regression
In T: Bandits/Online Learning/Reinforcement Learning
Dimitris Fotakis · Alkis Kalavasis · Eleni Psaroudaki
Spotlight
Thu Jul 21 08:10 AM -- 08:15 AM (PDT) @ Room 307
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
In Theory/Social Aspects
Lucas Baudin · Rida Laraki
Spotlight
Thu Jul 21 08:10 AM -- 08:15 AM (PDT) @ Hall G
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
In Reinforcement Learning
Brian Ziebart · Sanjiban Choudhury · Xinyan Yan · Paul Vernaza
Oral
Thu Jul 21 08:15 AM -- 08:35 AM (PDT) @ Hall G
Causal Imitation Learning under Temporally Correlated Noise
In Reinforcement Learning
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu
Oral
Thu Jul 21 08:15 AM -- 08:35 AM (PDT) @ Room 307
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
In Theory/Social Aspects
Gregory Dexter · Agniva Chowdhury · Haim Avron · Petros Drineas
Spotlight
Thu Jul 21 08:15 AM -- 08:20 AM (PDT) @ Room 309
Provable Domain Generalization via Invariant-Feature Subspace Recovery
In Miscellaneous Aspects of Machine Learning
Haoxiang Wang · Haozhe Si · Bo Li · Han Zhao
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 318 - 320
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
In Deep Learning/Optimization
Beren Millidge · Tommaso Salvatori · Yuhang Song · Thomas Lukasiewicz · Rafal Bogacz
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 327 - 329
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
In MISC/Deep Learning
Dong Chen · Lingfei Wu · Siliang Tang · Xiao Yun · Bo Long · Yueting Zhuang
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 309
Subspace Learning for Effective Meta-Learning
In Miscellaneous Aspects of Machine Learning
Weisen JIANG · James Kwok · Yu Zhang
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Ballroom 1 & 2
Dataset Condensation via Efficient Synthetic-Data Parameterization
In Deep Learning
Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
In Deep Learning/Optimization
Yan Zeng · Xinsong Zhang · Hang Li
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Hall F
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
In APP: Physics/Computer Vision
Mingrui Zhang · Jianhong Wang · James Tlhomole · Matthew Piggott
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 301 - 303
Unsupervised Image Representation Learning with Deep Latent Particles
In DL: Generative Models and Autoencoders
Tal Daniel · Aviv Tamar
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Searching for BurgerFormer with Micro-Meso-Macro Space Design
In Deep Learning
Longxing Yang · Yu Hu · Shun Lu · Zihao Sun · Jilin Mei · Yinhe Han · Xiaowei Li
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 310
COLA: Consistent Learning with Opponent-Learning Awareness
In Optimization/Reinforcement Learning
Timon Willi · Alistair Letcher · Johannes Treutlein · Jakob Foerster
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 327 - 329
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
In MISC/Deep Learning
Alex Lambert · Dimitri Bouche · Zoltan Szabo · Florence d'Alché-Buc
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 309 None
Continual Learning via Sequential Function-Space Variational Inference
In Miscellaneous Aspects of Machine Learning
Tim G. J Rudner · Freddie Bickford Smith · QIXUAN FENG · Yee-Whye Teh · Yarin Gal
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
In T: Bandits/Online Learning/Reinforcement Learning
Dan Qiao · Ming Yin · Ming Min · Yu-Xiang Wang
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 327 - 329
Measuring dissimilarity with diffeomorphism invariance
In MISC/Deep Learning
Théophile Cantelobre · Carlo Ciliberto · Benjamin Guedj · Alessandro Rudi
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
Continual Learning with Guarantees via Weight Interval Constraints
In Deep Learning/Optimization
Maciej Wołczyk · Karol J. Piczak · Bartosz Wójcik · Łukasz Pustelnik · Paweł Morawiecki · Jacek Tabor · Tomasz Trzcinski · Przemysław Spurek
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Hall F
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
In APP: Physics/Computer Vision
Manuel Brenner · Florian Hess · Jonas M Mikhaeil · Leonard Bereska · Zahra Monfared · Po-Chen Kuo · Daniel Durstewitz
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
Multi-scale Feature Learning Dynamics: Insights for Double Descent
In Deep Learning
Mohammad Pezeshki · Amartya Mitra · Yoshua Bengio · Guillaume Lajoie
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 309
Efficient Test-Time Model Adaptation without Forgetting
In Miscellaneous Aspects of Machine Learning
Shuaicheng Niu · Jiaxiang Wu · Yifan Zhang · Yaofo Chen · Shijian Zheng · Peilin Zhao · Mingkui Tan
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 310
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
In Optimization/Reinforcement Learning
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 301 - 303
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
In DL: Generative Models and Autoencoders
Weiming Zhi · Tin Lai · Lionel Ott · Edwin V Bonilla · Fabio Ramos
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 307
Nested Bandits
In Theory/Social Aspects
Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier · Houssam Zenati
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Hall G
Interactive Inverse Reinforcement Learning for Cooperative Games
In Reinforcement Learning
Thomas Kleine Buening · Anne-Marie George · Christos Dimitrakakis
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
A Simple Unified Framework for High Dimensional Bandit Problems
In T: Bandits/Online Learning/Reinforcement Learning
Wenjie Li · Adarsh Barik · Jean Honorio
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
Dataset Condensation with Contrastive Signals
In Deep Learning
Saehyung Lee · SANGHYUK CHUN · Sangwon Jung · Sangdoo Yun · Sungroh Yoon
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Hall F
An Intriguing Property of Geophysics Inversion
In APP: Physics/Computer Vision
Yinan Feng · Yinpeng Chen · Shihang Feng · Peng Jin · Zicheng Liu · Youzuo Lin
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 310
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
In Optimization/Reinforcement Learning
Khanh Nguyen · Yonatan Bisk · Hal Daumé III
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Neuro-Symbolic Hierarchical Rule Induction
In DL: Generative Models and Autoencoders
Claire Glanois · Zhaohui Jiang · Xuening Feng · Paul Weng · Matthieu Zimmer · Dong Li · Wulong Liu · Jianye Hao
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
Importance Weighted Kernel Bayes' Rule
In MISC/Deep Learning
Liyuan Xu · Yutian Chen · Arnaud Doucet · Arthur Gretton
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 309
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
In Miscellaneous Aspects of Machine Learning
Alexandre Capone · Armin Lederer · Sandra Hirche
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Faster Fundamental Graph Algorithms via Learned Predictions
In Deep Learning/Optimization
Justin Chen · Sandeep Silwal · Ali Vakilian · Fred Zhang
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 307
Information Discrepancy in Strategic Learning
In Theory/Social Aspects
Yahav Bechavod · Chara Podimata · Steven Wu · Juba Ziani
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4 None
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
In T: Bandits/Online Learning/Reinforcement Learning
Jiahao He · Jiheng Zhang · Rachel Q. Zhang
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Hall G
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
In Reinforcement Learning
Weichao Zhou · Wenchao Li
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
General-purpose, long-context autoregressive modeling with Perceiver AR
In DL: Generative Models and Autoencoders
Curtis Hawthorne · Andrew Jaegle · Cătălina Cangea · Sebastian Borgeaud · Charlie Nash · Mateusz Malinowski · Sander Dieleman · Oriol Vinyals · Matthew Botvinick · Ian Simon · Hannah Sheahan · Neil Zeghidour · Jean-Baptiste Alayrac · Joao Carreira · Jesse Engel
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
In Deep Learning/Optimization
Lorenzo Orecchia · Konstantinos Ameranis · Charalampos Tsourakakis · Kunal Talwar
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 310
Learning Stochastic Shortest Path with Linear Function Approximation
In Optimization/Reinforcement Learning
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
In MISC/Deep Learning
Meyer Scetbon · Laurent Meunier · Yaniv Romano
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Hall F
Particle Transformer for Jet Tagging
In APP: Physics/Computer Vision
Huilin Qu · Congqiao Li · Sitian Qian
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 309
Input Dependent Sparse Gaussian Processes
In Miscellaneous Aspects of Machine Learning
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Equivariant Priors for compressed sensing with unknown orientation
In Deep Learning
Anna Kuzina · Kumar Pratik · Fabio Valerio Massoli · Arash Behboodi
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Branching Reinforcement Learning
In T: Bandits/Online Learning/Reinforcement Learning
Yihan Du · Wei Chen
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Hall G
Robust Imitation Learning against Variations in Environment Dynamics
In Reinforcement Learning
Jongseong Chae · Seungyul Han · Whiyoung Jung · MYUNG-SIK CHO · Sungho Choi · Youngchul Sung
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 307
A Psychological Theory of Explainability
In Theory/Social Aspects
Scott Cheng-Hsin Yang · Nils Erik Tomas Folke · Patrick Shafto
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 309
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
In Miscellaneous Aspects of Machine Learning
Da Long · Zheng Wang · Aditi Krishnapriyan · Robert Kirby · Shandian Zhe · Michael Mahoney
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
In Deep Learning
Zhun Yang · Joohyung Lee · Chiyoun Park
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 310
Difference Advantage Estimation for Multi-Agent Policy Gradients
In Optimization/Reinforcement Learning
yueheng li · Guangming Xie · Zongqing Lu
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Hall F
BabelTower: Learning to Auto-parallelized Program Translation
In APP: Physics/Computer Vision
Yuanbo Wen · Qi Guo · Qiang Fu · XiaQing Li · jianxing xu · Yanlin Tang · Yongwei Zhao · Xing Hu · Zidong Du · Ling Li · Chao Wang · Xuehai Zhou · Yunji Chen
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Fair and Fast k-Center Clustering for Data Summarization
In Deep Learning/Optimization
Haris Angelidakis · Adam Kurpisz · Leon Sering · Rico Zenklusen
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Marginal Tail-Adaptive Normalizing Flows
In DL: Generative Models and Autoencoders
Mike Laszkiewicz · Johannes Lederer · Asja Fischer
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
Nyström Kernel Mean Embeddings
In MISC/Deep Learning
Antoine Chatalic · Nicolas Schreuder · Lorenzo Rosasco · Alessandro Rudi
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Fast rates for noisy interpolation require rethinking the effect of inductive bias
In T: Bandits/Online Learning/Reinforcement Learning
Konstantin Donhauser · Nicolò Ruggeri · Stefan Stojanovic · Fanny Yang
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Hall G
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
In Reinforcement Learning
Haoran Xu · Xianyuan Zhan · Honglei Yin · Huiling qin
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 307
Task-aware Privacy Preservation for Multi-dimensional Data
In Theory/Social Aspects
Jiangnan Cheng · Ao Tang · Sandeep Chinchali
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Hall F
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
In APP: Physics/Computer Vision
Kaizhi Qian · Yang Zhang · Heting Gao · Junrui Ni · Cheng-I Lai · David Cox · Mark Hasegawa-Johnson · Shiyu Chang
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
In Deep Learning
Sören Mindermann · Jan Brauner · Muhammed Razzak · Mrinank Sharma · Andreas Kirsch · Winnie Xu · Benedikt Höltgen · Aidan Gomez · Adrien Morisot · Sebastian Farquhar · Yarin Gal
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 310
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
In Optimization/Reinforcement Learning
Ling Pan · Longbo Huang · Tengyu Ma · Huazhe Xu
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
Distribution Regression with Sliced Wasserstein Kernels
In MISC/Deep Learning
Dimitri Marie Meunier · Massimiliano Pontil · Carlo Ciliberto
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Online and Consistent Correlation Clustering
In Deep Learning/Optimization
Vincent Cohen-Addad · Silvio Lattanzi · Andreas Maggiori · Nikos Parotsidis
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
In DL: Generative Models and Autoencoders
Xiang Xu · Karl Willis · Joseph G Lambourne · Chin-Yi Cheng · Pradeep Kumar Jayaraman · Yasutaka Furukawa
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 307
Strategic Representation
In Theory/Social Aspects
Vineet Nair · Ganesh Ghalme · Inbal Talgam-Cohen · Nir Rosenfeld
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
In T: Bandits/Online Learning/Reinforcement Learning
Haoyuan Cai · Tengyu Ma · Simon Du
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Hall G
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
In Reinforcement Learning
ZHIHAN LIU · Yufeng Zhang · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Generalized Leverage Scores: Geometric Interpretation and Applications
In Deep Learning/Optimization
Bruno Ordozgoiti · Antonis Matakos · Aristides Gionis
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 310
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
In Optimization/Reinforcement Learning
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Hall F
On Distribution Shift in Learning-based Bug Detectors
In APP: Physics/Computer Vision
Jingxuan He · Luca Beurer-Kellner · Martin Vechev
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 301 - 303
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
In DL: Generative Models and Autoencoders
Shanyan Guan · Huayu Deng · Yunbo Wang · Xiaokang Yang
Break
Thu Jul 21 09:00 AM -- 10:30 AM (PDT)
Lunch Break On Your Own
Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Room 318 - 320
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
In Optimization/Reinforcement Learning
Alina Ene · Huy Nguyen
Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Room 327 - 329
Generalised Policy Improvement with Geometric Policy Composition
In Reinforcement Learning
Shantanu Thakoor · Mark Rowland · Diana Borsa · Will Dabney · Remi Munos · Andre Barreto
Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Ballroom 3 & 4
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
In Theory: Game Theory and Optimization
Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos
Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Room 301 - 303
Learning Bellman Complete Representations for Offline Policy Evaluation
In Reinforcement Learning
Jonathan Chang · Kaiwen Wang · Nathan Kallus · Wen Sun
Oral
Thu Jul 21 10:30 AM -- 10:50 AM (PDT) @ Room 310
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
In Probabilistic Methods/MISC
Konstantinos Kalais · Sotirios Chatzis
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2 None
Deep Learning: SSL/GNN
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4 None
Theory: Game Theory and Optimization
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Hall F None
Deep Learning: Attention Mechanisms
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Hall G None
Applications
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 301 - 303 None
Reinforcement Learning
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 307 None
MISC/Social Aspects
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 309 None
Deep Learning/MISC
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 318 - 320 None
Optimization/Reinforcement Learning
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 327 - 329 None
Reinforcement Learning
Session
Thu Jul 21 10:30 AM -- 12:00 PM (PDT) @ Room 310 None
Probabilistic Methods/MISC
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Hall G
A Context-Integrated Transformer-Based Neural Network for Auction Design
In Applications
Zhijian Duan · Jingwu Tang · Yutong Yin · Zhe Feng · Xiang Yan · Manzil Zaheer · Xiaotie Deng
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Room 309
Dynamic Topic Models for Temporal Document Networks
In Deep Learning/MISC
Delvin Zhang · Hady Lauw
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Adversarial Masking for Self-Supervised Learning
In Deep Learning: SSL/GNN
Yuge Shi · Siddharth N · Phil Torr · Adam Kosiorek
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Hall F
Ripple Attention for Visual Perception with Sub-quadratic Complexity
In Deep Learning: Attention Mechanisms
Lin Zheng · Huijie Pan · Lingpeng Kong
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Room 307
Learning Stable Classifiers by Transferring Unstable Features
In MISC/Social Aspects
Yujia Bao · Shiyu Chang · Regina Barzilay
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Room 309
A Functional Information Perspective on Model Interpretation
In Deep Learning/MISC
Itai Gat · Nitay Calderon · Roi Reichart · Tamir Hazan
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Hall G
Domain Adaptation for Time Series Forecasting via Attention Sharing
In Applications
Xiaoyong Jin · Youngsuk Park · Danielle Robinson · Hao Wang · Yuyang Wang
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
In Deep Learning: SSL/GNN
Zhuoning Yuan · Yuexin Wu · Zi-Hao Qiu · Xianzhi Du · Lijun Zhang · Denny Zhou · Tianbao Yang
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Hall F
Self-supervised Models are Good Teaching Assistants for Vision Transformers
In Deep Learning: Attention Mechanisms
Haiyan Wu · Yuting Gao · Yinqi Zhang · Shaohui Lin · Yuan Xie · Xing Sun · Ke Li
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Room 307
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
In MISC/Social Aspects
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Yang Zhang · Shiyu Chang · Zhangyang “Atlas” Wang
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Hall F
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
In Deep Learning: Attention Mechanisms
Amin Ghiasi · Hamid Kazemi · Steven Reich · Chen Zhu · Micah Goldblum · Tom Goldstein
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Room 307
Attentional Meta-learners for Few-shot Polythetic Classification
In MISC/Social Aspects
Ben Day · Ramon Viñas Torné · Nikola Simidjievski · Pietro Lió
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Hall G
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
In Applications
Nabeel Seedat · Fergus Imrie · Alexis Bellot · Zhaozhi Qian · Mihaela van der Schaar
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Room 309
Be Like Water: Adaptive Floating Point for Machine Learning
In Deep Learning/MISC
Thomas Y. Yeh · Maxwell Sterner · Zerlina Lai · Brandon Chuang · Alexander Ihler
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In Deep Learning: SSL/GNN
Peng Wang · An Yang · Rui Men · Junyang Lin · Shuai Bai · Zhikang Li · Jianxin Ma · Chang Zhou · Jingren Zhou · Hongxia Yang
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Hall F
In defense of dual-encoders for neural ranking
In Deep Learning: Attention Mechanisms
Aditya Menon · Sadeep Jayasumana · Ankit Singh Rawat · Seungyeon Kim · Sashank Jakkam Reddi · Sanjiv Kumar
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
Multirate Training of Neural Networks
In Deep Learning: SSL/GNN
Tiffany Vlaar · Benedict Leimkuhler
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Room 309
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
In Deep Learning/MISC
Johannes Brandstetter · Max Welling · Daniel Worrall
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Hall G
Disentangling Disease-related Representation from Obscure for Disease Prediction
In Applications
Chu-ran Wang · Fei Gao · Fandong Zhang · Fangwei Zhong · Yizhou Yu · Yizhou Wang
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Room 307
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
In MISC/Social Aspects
Yuka Hashimoto · Zhao Wang · Tomoko Matsui
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 310
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
In Probabilistic Methods/MISC
Zheng Wang · Shandian Zhe
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 318 - 320
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
In Optimization/Reinforcement Learning
Zijian Liu · Ta Duy Nguyen · Alina Ene · Huy Nguyen
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
In Reinforcement Learning
Nathan Kallus · Xiaojie Mao · Kaiwen Wang · Zhengyuan Zhou
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
Offline Meta-Reinforcement Learning with Online Self-Supervision
In Reinforcement Learning
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Ballroom 3 & 4
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
In Theory: Game Theory and Optimization
Martino Bernasconi · Federico Cacciamani · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti · Francesco Trovò
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 307
Nonlinear Feature Diffusion on Hypergraphs
In MISC/Social Aspects
Konstantin Prokopchik · Austin Benson · Francesco Tudisco
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 309
Fast Provably Robust Decision Trees and Boosting
In Deep Learning/MISC
Jun-Qi Guo · Ming-Zhuo Teng · Wei Gao · Zhi-Hua Zhou
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Hall F
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
In Deep Learning: Attention Mechanisms
Krzysztof Choromanski · Han Lin · Haoxian Chen · Tianyi Zhang · Arijit Sehanobish · Valerii Likhosherstov · Jack Parker-Holder · Tamas Sarlos · Adrian Weller · Thomas Weingarten
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Hall G
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
In Applications
Brandon Trabucco · Xinyang Geng · Aviral Kumar · Sergey Levine
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Ballroom 1 & 2
Variational Wasserstein gradient flow
In Deep Learning: SSL/GNN
Jiaojiao Fan · Qinsheng Zhang · Amirhossein Taghvaei · Yongxin Chen
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 318 - 320
Adaptive Second Order Coresets for Data-efficient Machine Learning
In Optimization/Reinforcement Learning
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Ballroom 3 & 4
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
In Theory: Game Theory and Optimization
Luca Carminati · Federico Cacciamani · Marco Ciccone · Nicola Gatti
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
A Simple Reward-free Approach to Constrained Reinforcement Learning
In Reinforcement Learning
Sobhan Miryoosefi · Chi Jin
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
Divergence-Regularized Multi-Agent Actor-Critic
In Reinforcement Learning
Kefan Su · Zongqing Lu
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 310
Nonparametric Embeddings of Sparse High-Order Interaction Events
In Probabilistic Methods/MISC
Zheng Wang · Yiming Xu · Conor Tillinghast · Shibo Li · Akil Narayan · Shandian Zhe
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 309
Order Constraints in Optimal Transport
In Deep Learning/MISC
Yu Chin Fabian Lim · Laura Wynter · Shiau Hong Lim
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 307
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
In MISC/Social Aspects
Junyoung Park · Changwon Yoon · Cheolwoo Park · Jeongyoun Ahn
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Hall F
Linear Complexity Randomized Self-attention Mechanism
In Deep Learning: Attention Mechanisms
Lin Zheng · Chong Wang · Lingpeng Kong
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Ballroom 1 & 2
Building Robust Ensembles via Margin Boosting
In Deep Learning: SSL/GNN
Dinghuai Zhang · Hongyang Zhang · Aaron Courville · Yoshua Bengio · Pradeep Ravikumar · Arun Sai Suggala
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Hall G
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
In Applications
Seyed Kamyar Seyed Ghasemipour · Satoshi Kataoka · Byron David · Daniel Freeman · Shixiang Gu · Igor Mordatch
Oral
Thu Jul 21 11:00 AM -- 11:20 AM (PDT) @ Room 309
Sublinear-Time Clustering Oracle for Signed Graphs
In Deep Learning/MISC
Stefan Neumann · Pan Peng
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 327 - 329
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
In Reinforcement Learning
Shuang Wu · Ling Shi · Jun Wang · Guangjian Tian
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 318 - 320
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
In Optimization/Reinforcement Learning
Trang Tran · Katya Scheinberg · Lam Nguyen
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Ballroom 3 & 4
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
In Theory: Game Theory and Optimization
Sonja Kraiczy · Edith Elkind
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 301 - 303
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
In Reinforcement Learning
Jason Yecheng Ma · Andrew Shen · Dinesh Jayaraman · Osbert Bastani
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 310
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
In Probabilistic Methods/MISC
Javier Antorán · David Janz · James Allingham · Erik Daxberger · Riccardo Barbano · Eric Nalisnick · Jose Miguel Hernandez-Lobato
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Hall G
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
In Applications
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Hall F
Efficient Representation Learning via Adaptive Context Pooling
In Deep Learning: Attention Mechanisms
Chen Huang · Walter Talbott · Navdeep Jaitly · Joshua M Susskind
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Ballroom 1 & 2
Investigating Generalization by Controlling Normalized Margin
In Deep Learning: SSL/GNN
Alexander Farhang · Jeremy Bernstein · Kushal Tirumala · Yang Liu · Yisong Yue
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 307
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
In MISC/Social Aspects
Haoqi Yuan · Zongqing Lu
Oral
Thu Jul 21 11:05 AM -- 11:25 AM (PDT) @ Hall F
Toward Compositional Generalization in Object-Oriented World Modeling
In Deep Learning: Attention Mechanisms
Linfeng Zhao · Lingzhi Kong · Robin Walters · Lawson Wong
Oral
Thu Jul 21 11:05 AM -- 11:25 AM (PDT) @ Hall G None
Do Differentiable Simulators Give Better Policy Gradients?
In Applications
Hyung Ju Suh · Max Simchowitz · Kaiqing Zhang · Russ Tedrake
Oral
Thu Jul 21 11:05 AM -- 11:25 AM (PDT) @ Room 307 None
Causal Conceptions of Fairness and their Consequences
In MISC/Social Aspects
Hamed Nilforoshan · Johann Gaebler · Ravi Shroff · Sharad Goel
Oral
Thu Jul 21 11:05 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
In Deep Learning: SSL/GNN
Kendrick Shen · Robbie Jones · Ananya Kumar · Sang Michael Xie · Jeff Z. HaoChen · Tengyu Ma · Percy Liang
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 310
NOMU: Neural Optimization-based Model Uncertainty
In Probabilistic Methods/MISC
Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 327 - 329
Off-Policy Reinforcement Learning with Delayed Rewards
In Reinforcement Learning
Beining Han · Zhizhou Ren · Zuofan Wu · Yuan Zhou · Jian Peng
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Ballroom 3 & 4
Selling Data To a Machine Learner: Pricing via Costly Signaling
In Theory: Game Theory and Optimization
Junjie Chen · Minming Li · Haifeng Xu
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 301 - 303
Temporal Difference Learning for Model Predictive Control
In Reinforcement Learning
Nicklas Hansen · Hao Su · Xiaolong Wang
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 318 - 320
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
In Optimization/Reinforcement Learning
Valentin Durante · George Katsirelos · Thomas Schiex
Oral
Thu Jul 21 11:10 AM -- 11:30 AM (PDT) @ Room 310 None
Bayesian Model Selection, the Marginal Likelihood, and Generalization
In Probabilistic Methods/MISC
Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson
Oral
Thu Jul 21 11:10 AM -- 11:30 AM (PDT) @ Room 318 - 320
Deletion Robust Submodular Maximization over Matroids
In Optimization/Reinforcement Learning
PAUL DUETTING · Federico Fusco · Silvio Lattanzi · Ashkan Norouzi-Fard · Morteza Zadimoghaddam
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Ballroom 3 & 4
Hardness and Algorithms for Robust and Sparse Optimization
In Theory: Game Theory and Optimization
Eric Price · Sandeep Silwal · Samson Zhou
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Room 301 - 303
Model Selection in Batch Policy Optimization
In Reinforcement Learning
Jonathan Lee · George Tucker · Ofir Nachum · Bo Dai
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Room 327 - 329
Direct Behavior Specification via Constrained Reinforcement Learning
In Reinforcement Learning
Julien Roy · Roger Girgis · Joshua Romoff · Pierre-Luc Bacon · Christopher Pal
Oral
Thu Jul 21 11:15 AM -- 11:35 AM (PDT) @ Room 327 - 329
Large Batch Experience Replay
In Reinforcement Learning
Thibault Lahire · Matthieu Geist · Emmanuel Rachelson
Oral
Thu Jul 21 11:15 AM -- 11:35 AM (PDT) @ Ballroom 3 & 4
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
In Theory: Game Theory and Optimization
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
Oral
Thu Jul 21 11:15 AM -- 11:35 AM (PDT) @ Room 301 - 303 None
Adversarially Trained Actor Critic for Offline Reinforcement Learning
In Reinforcement Learning
Ching-An Cheng · Tengyang Xie · Nan Jiang · Alekh Agarwal
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT) @ Room 309
PAC-Bayesian Bounds on Rate-Efficient Classifiers
In Deep Learning/MISC
Alhabib Abbas · Yiannis Andreopoulos
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Hall G
Adaptive Conformal Predictions for Time Series
In Applications
Margaux Zaffran · Olivier FERON · Yannig Goude · julie Josse · Aymeric Dieuleveut
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
In Deep Learning: SSL/GNN
Wangchunshu Zhou · Yan Zeng · shizhe diao · Xinsong Zhang
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Room 307
Fairness with Adaptive Weights
In MISC/Social Aspects
Junyi Chai · Xiaoqian Wang
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Room 309
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
In Deep Learning/MISC
Osman Asif Malik
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Hall F
Fast Population-Based Reinforcement Learning on a Single Machine
In Deep Learning: Attention Mechanisms
Arthur Flajolet · Claire Bizon Monroc · Karim Beguir · Thomas Pierrot
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
In Optimization/Reinforcement Learning
Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 310
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
In Probabilistic Methods/MISC
Jiechao Guan · Zhiwu Lu
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Hall F
NeuralEF: Deconstructing Kernels by Deep Neural Networks
In Deep Learning: Attention Mechanisms
Zhijie Deng · Jiaxin Shi · Jun Zhu
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Hall G
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
In Applications
Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 309
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
In Deep Learning/MISC
Momin Abbas · Quan Xiao · Lisha Chen · Pin-Yu Chen · Tianyi Chen
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
In Deep Learning: SSL/GNN
Sihang Li · Xiang Wang · An Zhang · Ying-Xin Wu · Xiangnan He · Tat-Seng Chua
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 307
Understanding Instance-Level Impact of Fairness Constraints
In MISC/Social Aspects
Jialu Wang · Xin Eric Wang · Yang Liu
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 310
Wide Neural Networks Forget Less Catastrophically
In Probabilistic Methods/MISC
Seyed Iman Mirzadeh · Arslan Chaudhry · Dong Yin · Huiyi Hu · Razvan Pascanu · Dilan Gorur · Mehrdad Farajtabar
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Optimal Estimation of Policy Gradient via Double Fitted Iteration
In Reinforcement Learning
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Ballroom 3 & 4
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
In Theory: Game Theory and Optimization
Qixin Zhang · Zengde Deng · Zaiyi Chen · Haoyuan Hu · Yu Yang
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
Evolving Curricula with Regret-Based Environment Design
In Reinforcement Learning
Jack Parker-Holder · Minqi Jiang · Michael Dennis · Mikayel Samvelyan · Jakob Foerster · Edward Grefenstette · Tim Rocktäschel
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
Instance Dependent Regret Analysis of Kernelized Bandits
In Optimization/Reinforcement Learning
Shubhanshu Shekhar · Tara Javidi
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Hall G
Rethinking Graph Neural Networks for Anomaly Detection
In Applications
Jianheng Tang · Jiajin Li · Ziqi Gao · Jia Li
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 309
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
In Deep Learning/MISC
Hongchang Gao · Junyi Li · Heng Huang
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 307
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
In MISC/Social Aspects
Peizhao Li · Hongfu Liu
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Graph Neural Architecture Search Under Distribution Shifts
In Deep Learning: SSL/GNN
Yijian Qin · Xin Wang · Ziwei Zhang · Pengtao Xie · Wenwu Zhu
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Hall F
Visual Attention Emerges from Recurrent Sparse Reconstruction
In Deep Learning: Attention Mechanisms
Baifeng Shi · Yale Song · Neel Joshi · Trevor Darrell · Xin Wang
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
In Reinforcement Learning
Junlin Wu · Yevgeniy Vorobeychik
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 310
A Unified View on PAC-Bayes Bounds for Meta-Learning
In Probabilistic Methods/MISC
Arezou Rezazadeh
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
In Reinforcement Learning
Hongyi Guo · Qi Cai · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
In Theory: Game Theory and Optimization
Jungbin Kim · Insoon Yang
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
In Optimization/Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Hall F
Transformer Quality in Linear Time
In Deep Learning: Attention Mechanisms
Weizhe Hua · Zihang Dai · Hanxiao Liu · Quoc Le
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 307
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
In MISC/Social Aspects
Jean-Rémy Conti · Nathan NOIRY · Stephan Clemencon · Vincent Despiegel · Stéphane Gentric
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Hall G
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
In Applications
Elvis Nava · John Zhang · Mike Yan Michelis · Tao Du · Pingchuan Ma · Benjamin F. Grewe · Wojciech Matusik · Robert Katzschmann
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
How Powerful are Spectral Graph Neural Networks
In Deep Learning: SSL/GNN
Xiyuan Wang · Muhan Zhang
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 309
SPDY: Accurate Pruning with Speedup Guarantees
In Deep Learning/MISC
Elias Frantar · Dan Alistarh
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Ballroom 3 & 4
The Complexity of k-Means Clustering when Little is Known
In Theory: Game Theory and Optimization
Robert Ganian · Thekla Hamm · Viktoriia Korchemna · Karolina Okrasa · Kirill Simonov
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 310
MAML and ANIL Provably Learn Representations
In Probabilistic Methods/MISC
Liam Collins · Aryan Mokhtari · Sewoong Oh · Sanjay Shakkottai
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 327 - 329
Transformers are Meta-Reinforcement Learners
In Reinforcement Learning
Luckeciano Melo
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 301 - 303
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
In Reinforcement Learning
Ruiqi Zhang · Xuezhou Zhang · Chengzhuo Ni · Mengdi Wang
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 318 - 320
Tell me why! Explanations support learning relational and causal structure
In Optimization/Reinforcement Learning
Andrew Lampinen · Nicholas Roy · Ishita Dasgupta · Stephanie Chan · Allison Tam · James McClelland · Chen Yan · Adam Santoro · Neil Rabinowitz · Jane Wang · Feilx Hill
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Constraint-based graph network simulator
In Deep Learning: SSL/GNN
Yulia Rubanova · Alvaro Sanchez-Gonzalez · Tobias Pfaff · Peter Battaglia
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Hall G
Proving Theorems using Incremental Learning and Hindsight Experience Replay
In Applications
Eser Aygün · Ankit Anand · Laurent Orseau · Xavier Glorot · Stephen McAleer · Vlad Firoiu · Lei Zhang · Doina Precup · Shibl Mourad
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 309
Flashlight: Enabling Innovation in Tools for Machine Learning
In Deep Learning/MISC
Jacob Kahn · Vineel Pratap · Tatiana Likhomanenko · Qiantong Xu · Awni Hannun · Jeff Cai · Paden Tomasello · Ann Lee · Edouard Grave · Gilad Avidov · Benoit Steiner · Vitaliy Liptchinsky · Gabriel Synnaeve · Ronan Collobert
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Hall F
What Dense Graph Do You Need for Self-Attention?
In Deep Learning: Attention Mechanisms
Yuxin Wang · Chu-Tak Lee · Qipeng Guo · Zhangyue Yin · yunhua zhou · Xuanjing Huang · Xipeng Qiu
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 307
Selective Regression under Fairness Criteria
In MISC/Social Aspects
Abhin Shah · Yuheng Bu · Joshua Lee · Subhro Das · Rameswar Panda · Prasanna Sattigeri · Gregory Wornell
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 301 - 303
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
In Reinforcement Learning
Huang Bojun
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 318 - 320
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
In Optimization/Reinforcement Learning
Matthias Weissenbacher · Samrath Sinha · Animesh Garg · Yoshinobu Kawahara
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 327 - 329
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In Reinforcement Learning
Litian Liang · Yaosheng Xu · Stephen Mcaleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Ballroom 3 & 4
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
In Theory: Game Theory and Optimization
Kyriakos Axiotis ·
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 310
C-MinHash: Improving Minwise Hashing with Circulant Permutation
In Probabilistic Methods/MISC
Xiaoyun Li · Ping Li
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall F
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
In Deep Learning: Attention Mechanisms
Tom Ron · Tamir Hazan
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
In Deep Learning: SSL/GNN
Zehao Dong · Muhan Zhang · Fuhai Li · Yixin Chen
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 309
On the Robustness of CountSketch to Adaptive Inputs
In Deep Learning/MISC
Edith Cohen · Xin Lyu · Jelani Nelson · Tamas Sarlos · Moshe Shechner · Uri Stemmer
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall G
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
In Applications
Aviv Netanyahu · Tianmin Shu · Josh Tenenbaum · Pulkit Agrawal
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 307
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
In MISC/Social Aspects
Jiayin Jin · Zeru Zhang · Yang Zhou · Lingfei Wu
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 301 - 303
On the Role of Discount Factor in Offline Reinforcement Learning
In Reinforcement Learning
Hao Hu · yiqin yang · Qianchuan Zhao · Chongjie Zhang
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 327 - 329
Constrained Variational Policy Optimization for Safe Reinforcement Learning
In Reinforcement Learning
Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 310
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
In Probabilistic Methods/MISC
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
In Theory: Game Theory and Optimization
Peter Richtarik · Igor Sokolov · Elnur Gasanov · Ilyas Fatkhullin · Zhize Li · Eduard Gorbunov
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2
Structure-Aware Transformer for Graph Representation Learning
In Deep Learning: SSL/GNN
Dexiong Chen · Leslie O'Bray · Karsten Borgwardt
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall F
Multi Resolution Analysis (MRA) for Approximate Self-Attention
In Deep Learning: Attention Mechanisms
Zhanpeng Zeng · Sourav Pal · Jeffery Kline · Glenn Fung · Vikas Singh
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall G
Neural Inverse Kinematic
In Applications
Raphael Bensadoun · Shir Gur · Nitsan Blau · Lior Wolf
Break
Thu Jul 21 12:00 PM -- 12:30 PM (PDT)
Coffee Break
Oral
Thu Jul 21 12:30 PM -- 12:50 PM (PDT) @ Room 318 - 320
Generalized Strategic Classification and the Case of Aligned Incentives
In Social Aspects/Optimization
Sagi Levanon · Nir Rosenfeld
Oral
Thu Jul 21 12:30 PM -- 12:50 PM (PDT) @ Room 309
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
In Reinforcement Learning/Optimization
Daniil Tiapkin · Denis Belomestny · Eric Moulines · Alexey Naumov · Sergey Samsonov · Yunhao Tang · Michal Valko · Pierre Menard
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2 None
Deep Learning
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Ballroom 3 & 4 None
T: Online Learning and Bandits
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Hall F None
Deep Learning
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Hall G None
Applications/Optimization
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 301 - 303 None
Applications/MISC
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 307 None
Optimization/Reinforcement Learning
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 309 None
Reinforcement Learning/Optimization
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 318 - 320 None
Social Aspects/Optimization
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 327 - 329 None
Optimization/Theory
Session
Thu Jul 21 12:30 PM -- 02:00 PM (PDT) @ Room 310 None
Optimization/Probabilistic Methods
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Hall G
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
In Applications/Optimization
Nan Du · Yanping Huang · Andrew Dai · Simon Tong · Dmitry Lepikhin · Yuanzhong Xu · Maxim Krikun · Yanqi Zhou · Adams Wei Yu · Orhan Firat · Barret Zoph · William Fedus · Maarten Bosma · Zongwei Zhou · Tao Wang · Emma Wang · Kellie Webster · Marie Pellat · Kevin Robinson · Kathleen Meier-Hellstern · Toju Duke · Lucas Dixon · Kun Zhang · Quoc Le · Yonghui Wu · Zhifeng Chen · Claire Cui
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Ballroom 1 & 2
Bregman Neural Networks
In Deep Learning
Jordan Frecon · Gilles Gasso · Massimiliano Pontil · Saverio Salzo
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 307
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
In Optimization/Reinforcement Learning
Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 301 - 303
Revisiting End-to-End Speech-to-Text Translation From Scratch
In Applications/MISC
Biao Zhang · Barry Haddow · Rico Sennrich
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 310
Global Optimization Networks
In Optimization/Probabilistic Methods
Sen Zhao · Erez Louidor · Maya Gupta
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 327 - 329
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
In Optimization/Theory
Hui-Po Wang · Sebastian Stich · Yang He · Mario Fritz
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Ballroom 3 & 4
Nearly Optimal Catoni’s M-estimator for Infinite Variance
In T: Online Learning and Bandits
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Hall F
Convergence of Invariant Graph Networks
In Deep Learning
Chen Cai · Yusu Wang
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 327 - 329
Federated Learning with Label Distribution Skew via Logits Calibration
In Optimization/Theory
Jie Zhang · Zhiqi Li · Bo Li · Jianghe Xu · Shuang Wu · Shouhong Ding · Chao Wu
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 301 - 303
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In Applications/MISC
Yamini Bansal · Behrooz Ghorbani · Ankush Garg · Biao Zhang · Colin Cherry · Behnam Neyshabur · Orhan Firat
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Ballroom 1 & 2
Quantifying and Learning Linear Symmetry-Based Disentanglement
In Deep Learning
Loek Tonnaer · Luis Armando Perez Rey · Vlado Menkovski · Mike Holenderski · Jacobus Portegies
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 307
A Regret Minimization Approach to Multi-Agent Control
In Optimization/Reinforcement Learning
Udaya Ghai · Udari Madhuhshani · Naomi Leonard · Elad Hazan
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Hall F
Rich Feature Construction for the Optimization-Generalization Dilemma
In Deep Learning
Jianyu Zhang · David Lopez-Paz · Léon Bottou
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Ballroom 3 & 4
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
In T: Online Learning and Bandits
Tianrui Chen · Aditya Gangrade · Venkatesh Saligrama
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Hall G
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
In Applications/Optimization
Mohammad Mahmudul Alam · Edward Raff · Tim Oates · James Holt
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 310
Generalized Federated Learning via Sharpness Aware Minimization
In Optimization/Probabilistic Methods
Zhe Qu · Xingyu Li · Rui Duan · Yao Liu · Bo Tang · Zhuo Lu
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 310
Delay-Adaptive Step-sizes for Asynchronous Learning
In Optimization/Probabilistic Methods
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Hall G
Object Permanence Emerges in a Random Walk along Memory
In Applications/Optimization
Pavel Tokmakov · Allan Jabri · Jie Li · Adrien Gaidon
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Hall F
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
In Deep Learning
Xingcheng Yao · Yanan Zheng · Xiaocong Yang · Zhilin Yang
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 307
Multi-slots Online Matching with High Entropy
In Optimization/Reinforcement Learning
XINGYU LU · Qintong Wu · WENLIANG ZHONG
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Ballroom 1 & 2
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
In Deep Learning
David Knigge · David Romero · Erik Bekkers
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 327 - 329
Adaptive Random Walk Gradient Descent for Decentralized Optimization
In Optimization/Theory
Tao Sun · Dongsheng Li · Bao Wang
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Ballroom 3 & 4
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
In T: Online Learning and Bandits
Oisin Faust · Hamza Fawzi
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 301 - 303
Dialog Inpainting: Turning Documents into Dialogs
In Applications/MISC
Zhuyun Dai · Arun Tejasvi Chaganty · Vincent Zhao · Aida Amini · Qazi Mamunur Rashid · Mike Green · Kelvin Guu
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Ballroom 3 & 4
Contextual Information-Directed Sampling
In T: Online Learning and Bandits
Botao Hao · Tor Lattimore · Chao Qin
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Hall F
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
In Deep Learning
Zhuangdi Zhu · Junyuan Hong · Steve Drew · Jiayu Zhou
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Hall G
Flow-Guided Sparse Transformer for Video Deblurring
In Applications/Optimization
Jing Lin · Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Youliang Yan · Xueyi Zou · Henghui Ding · Yulun Zhang · Radu Timofte · Luc Van Gool
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 327 - 329
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
In Optimization/Theory
Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 301 - 303
Safe Exploration for Efficient Policy Evaluation and Comparison
In Applications/MISC
Runzhe Wan · Branislav Kveton · Rui Song
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 307
Decision-Focused Learning: Through the Lens of Learning to Rank
In Optimization/Reinforcement Learning
Jayanta Mandi · Víctor Bucarey · Maxime Mulamba Ke Tchomba · Tias Guns
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Ballroom 1 & 2
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
In Deep Learning
Zhengyang Shen · Tao Hong · Qi She · Jinwen Ma · Zhouchen Lin
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 310
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
In Optimization/Probabilistic Methods
Fan Lai · Yinwei Dai · Sanjay Singapuram · Jiachen Liu · Xiangfeng Zhu · Harsha Madhyastha · Mosharaf Chowdhury
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 318 - 320
Improving Screening Processes via Calibrated Subset Selection
In Social Aspects/Optimization
Luke Lequn Wang · Thorsten Joachims · Manuel Gomez-Rodriguez
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 309
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
In Reinforcement Learning/Optimization
Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 307
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
In Optimization/Reinforcement Learning
Amrit Singh Bedi · Souradip Chakraborty · Anjaly Parayil · Brian Sadler · Pratap Tokekar · Alec Koppel
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Hall F
Augment with Care: Contrastive Learning for Combinatorial Problems
In Deep Learning
Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 327 - 329
Secure Distributed Training at Scale
In Optimization/Theory
Eduard Gorbunov · Alexander Borzunov · Michael Diskin · Max Ryabinin
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Hall G
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
In Applications/Optimization
Qingyang Tan · Zherong Pan · Breannan Smith · Takaaki Shiratori · Dinesh Manocha
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Ballroom 1 & 2
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
In Deep Learning
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Ballroom 3 & 4
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
In T: Online Learning and Bandits
Avishek Ghosh · Abishek Sankararaman
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 310
Learning Augmented Binary Search Trees
In Optimization/Probabilistic Methods
Honghao Lin · Tian Luo · David Woodruff
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 301 - 303
Adversarial Attacks on Gaussian Process Bandits
In Applications/MISC
Eric Han · Jonathan Scarlett
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 309
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
In Reinforcement Learning/Optimization
Arnab Kumar Mondal · Vineet Jain · Kaleem Siddiqi · Siamak Ravanbakhsh
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 318 - 320
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
In Social Aspects/Optimization
Lucas Agussurja · Xinyi Xu · Bryan Kian Hsiang Low
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 301 - 303
GALAXY: Graph-based Active Learning at the Extreme
In Applications/MISC
Jifan Zhang · Julian Katz-Samuels · Robert Nowak
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 327 - 329
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
In Optimization/Theory
Karl Bäckström · Marina Papatriantafilou · Philippas Tsigas
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 307
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
In Optimization/Reinforcement Learning
Iou-Jen Liu · Xingdi Yuan · Marc-Alexandre Côté · Pierre-Yves Oudeyer · Alex Schwing
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Hall F
Cycle Representation Learning for Inductive Relation Prediction
In Deep Learning
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Ballroom 3 & 4
Universal and data-adaptive algorithms for model selection in linear contextual bandits
In T: Online Learning and Bandits
Vidya Muthukumar · Akshay Krishnamurthy
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 310
Communication-efficient Distributed Learning for Large Batch Optimization
In Optimization/Probabilistic Methods
Rui Liu · Barzan Mozafari
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Hall G
Staged Training for Transformer Language Models
In Applications/Optimization
Sheng Shen · Pete Walsh · Kurt Keutzer · Jesse Dodge · Matthew Peters · Iz Beltagy
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Ballroom 1 & 2
(Non-)Convergence Results for Predictive Coding Networks
In Deep Learning
Simon Frieder · Thomas Lukasiewicz
Oral
Thu Jul 21 01:00 PM -- 01:20 PM (PDT) @ Room 327 - 329
Anarchic Federated Learning
In Optimization/Theory
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu
Oral
Thu Jul 21 01:00 PM -- 01:20 PM (PDT) @ Room 310
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
In Optimization/Probabilistic Methods
Giuseppe Bruno De Luca · Eva Silverstein
Oral
Thu Jul 21 01:00 PM -- 01:20 PM (PDT) @ Hall G
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
In Applications/Optimization
Martin Genzel · Ingo Gühring · Jan Macdonald · Maximilian März
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 309
Imitation Learning by Estimating Expertise of Demonstrators
In Reinforcement Learning/Optimization
Mark Beliaev · Andy Shih · Stefano Ermon · Dorsa Sadigh · Ramtin Pedarsani
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 318 - 320
Data-SUITE: Data-centric identification of in-distribution incongruous examples
In Social Aspects/Optimization
Nabeel Seedat · Jonathan Crabbé · Mihaela van der Schaar
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Ballroom 1 & 2
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
In Deep Learning
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 307
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
In Optimization/Reinforcement Learning
Adam Villaflor · Zhe Huang · Swapnil Pande · John Dolan · Jeff Schneider
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 301 - 303
When Are Linear Stochastic Bandits Attackable?
In Applications/MISC
Huazheng Wang · Haifeng Xu · Hongning Wang
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Hall F
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
In Deep Learning
Mitchell Wortsman · Gabriel Ilharco · Samir Gadre · Rebecca Roelofs · Raphael Gontijo Lopes · Ari Morcos · Hongseok Namkoong · Ali Farhadi · Yair Carmon · Simon Kornblith · Ludwig Schmidt
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Ballroom 3 & 4
Regret Minimization with Performative Feedback
In T: Online Learning and Bandits
Meena Jagadeesan · Tijana Zrnic · Celestine Mendler-Dünner
Oral
Thu Jul 21 01:05 PM -- 01:25 PM (PDT) @ Ballroom 1 & 2
Measuring Representational Robustness of Neural Networks Through Shared Invariances
In Deep Learning
Vedant Nanda · Till Speicher · Camila Kolling · John P Dickerson · Krishna Gummadi · Adrian Weller
Oral
Thu Jul 21 01:05 PM -- 01:25 PM (PDT) @ Room 301 - 303
UniRank: Unimodal Bandit Algorithms for Online Ranking
In Applications/MISC
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont
Oral
Thu Jul 21 01:05 PM -- 01:25 PM (PDT) @ Room 307
An Analytical Update Rule for General Policy Optimization
In Optimization/Reinforcement Learning
Hepeng Li · Nicholas Clavette · Haibo He
Oral
Thu Jul 21 01:05 PM -- 01:25 PM (PDT) @ Ballroom 3 & 4
A Simple yet Universal Strategy for Online Convex Optimization
In T: Online Learning and Bandits
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Oral
Thu Jul 21 01:05 PM -- 01:25 PM (PDT) @ Hall F
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
In Deep Learning
Pranjal Awasthi · Nishanth Dikkala · Pritish Kamath
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT) @ Room 309
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
In Reinforcement Learning/Optimization
Ryan Sullivan · Jordan Terry · Benjamin Black · John P Dickerson
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT) @ Room 318 - 320
Counterfactual Prediction for Outcome-Oriented Treatments
In Social Aspects/Optimization
Hao Zou · Bo Li · Jiangang Han · Shuiping Chen · Xuetao Ding · Peng Cui
Oral
Thu Jul 21 01:10 PM -- 01:30 PM (PDT) @ Room 318 - 320
Optimal Algorithms for Mean Estimation under Local Differential Privacy
In Social Aspects/Optimization
Hilal Asi · Vitaly Feldman · Kunal Talwar
Spotlight
Thu Jul 21 01:10 PM -- 01:15 PM (PDT) @ Room 309
Off-Policy Evaluation for Large Action Spaces via Embeddings
In Reinforcement Learning/Optimization
Yuta Saito · Thorsten Joachims
Oral
Thu Jul 21 01:15 PM -- 01:35 PM (PDT) @ Room 309
Online Decision Transformer
In Reinforcement Learning/Optimization
Qinqing Zheng · Amy Zhang · Aditya Grover
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Hall G
Self-supervised learning with random-projection quantizer for speech recognition
In Applications/Optimization
Chung-Cheng Chiu · James Qin · Yu Zhang · Jiahui Yu · Yonghui Wu
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 327 - 329
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
In Optimization/Theory
Zhenheng Tang · Yonggang Zhang · Shaohuai Shi · Xin He · Bo Han · Xiaowen Chu
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 310
A Simple Guard for Learned Optimizers
In Optimization/Probabilistic Methods
Isabeau Prémont-Schwarz · Jaroslav Vítků · Jan Feyereisl
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 307
Making Linear MDPs Practical via Contrastive Representation Learning
In Optimization/Reinforcement Learning
Tianjun Zhang · Tongzheng Ren · Mengjiao Yang · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 327 - 329
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
In Optimization/Theory
Xuezhou Zhang · Yuda Song · Masatoshi Uehara · Mengdi Wang · Alekh Agarwal · Wen Sun
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Hall G
Learning Multiscale Transformer Models for Sequence Generation
In Applications/Optimization
Bei Li · Tong Zheng · yi jing · Chengbo Jiao · Tong Xiao · Jingbo Zhu
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Hall F
MetAug: Contrastive Learning via Meta Feature Augmentation
In Deep Learning
Jiangmeng Li · Wenwen Qiang · Changwen Zheng · Bing Su · Hui Xiong
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Ballroom 1 & 2
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
In Deep Learning
Kazuki Irie · Robert Cordas · Jürgen Schmidhuber
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Ballroom 3 & 4
Deep Hierarchy in Bandits
In T: Online Learning and Bandits
Joey Hong · Branislav Kveton · Sumeet Katariya · Manzil Zaheer · Mohammad Ghavamzadeh
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 310
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
In Optimization/Probabilistic Methods
Jihwan Jeong · Parth Jaggi · Andrew Butler · Scott Sanner
Spotlight
Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 301 - 303
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
In Applications/MISC
Nate Veldt
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
In Social Aspects/Optimization
Sokbae Lee · Serena Ng
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Hall G
NP-Match: When Neural Processes meet Semi-Supervised Learning
In Applications/Optimization
Jianfeng Wang · Thomas Lukasiewicz · Daniela Massiceti · Xiaolin Hu · Vladimir Pavlovic · Alexandros Neophytou
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 310
Multi-Level Branched Regularization for Federated Learning
In Optimization/Probabilistic Methods
Jinkyu Kim · Geeho Kim · Bohyung Han
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 307
Flow-based Recurrent Belief State Learning for POMDPs
In Optimization/Reinforcement Learning
Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
Interactive Correlation Clustering with Existential Cluster Constraints
In Applications/MISC
Rico Angell · Nicholas Monath · Nishant Yadav · Andrew McCallum
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Ballroom 3 & 4
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
In T: Online Learning and Bandits
Sho Takemori
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
Sketching Algorithms and Lower Bounds for Ridge Regression
In Optimization/Theory
Praneeth Kacham · David Woodruff
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Hall F
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
In Deep Learning
Yihao Xue · Kyle Whitecross · Baharan Mirzasoleiman
Spotlight
Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
Flowformer: Linearizing Transformers with Conservation Flows
In Deep Learning
Haixu Wu · Jialong Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
In Social Aspects/Optimization
Aram-Alexandre Pooladian · Marco Cuturi · Jonathan Niles-Weed
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 309
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
In Reinforcement Learning/Optimization
Jan Kaiser · Oliver Stein · Annika Eichler
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Hall G
Proximal and Federated Random Reshuffling
In Applications/Optimization
Konstantin Mishchenko · Ahmed Khaled · Peter Richtarik
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 307
A Parametric Class of Approximate Gradient Updates for Policy Optimization
In Optimization/Reinforcement Learning
Ramki Gummadi · Saurabh Kumar · Junfeng Wen · Dale Schuurmans
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Ballroom 3 & 4
Asymptotically-Optimal Gaussian Bandits with Side Observations
In T: Online Learning and Bandits
Alexia Atsidakou · Orestis Papadigenopoulos · Constantine Caramanis · Sujay Sanghavi · Sanjay Shakkottai
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Hall F
Contrastive Learning with Boosted Memorization
In Deep Learning
Zhihan Zhou · Jiangchao Yao · Yan-Feng Wang · Bo Han · Ya Zhang
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
Simultaneous Graph Signal Clustering and Graph Learning
In Applications/MISC
Abdullah Karaaslanli · Selin Aviyente
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
In Optimization/Theory
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Spatial-Channel Token Distillation for Vision MLPs
In Deep Learning
Yanxi Li · Xinghao Chen · Minjing Dong · Yehui Tang · Yunhe Wang · Chang Xu
Spotlight
Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 310
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
In Optimization/Probabilistic Methods
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 309
How to Leverage Unlabeled Data in Offline Reinforcement Learning
In Reinforcement Learning/Optimization
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
In Social Aspects/Optimization
Tim Tsz-Kit Lau · Han Liu
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
Bregman Power k-Means for Clustering Exponential Family Data
In Applications/MISC
Adithya D Vellal · Saptarshi Chakraborty · Jason Xu
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Hall G
Federated Learning with Partial Model Personalization
In Applications/Optimization
Krishna Pillutla · Kshitiz Malik · Abdel-rahman Mohamed · Michael Rabbat · Maziar Sanjabi · Lin Xiao
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Hall F
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
In Deep Learning
Kaiwen Yang · Tianyi Zhou · Xinmei Tian · Dacheng Tao
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
Utility Theory for Sequential Decision Making
In Optimization/Theory
Mehran Shakerinava · Siamak Ravanbakhsh
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Ballroom 3 & 4
Learning from a Learning User for Optimal Recommendations
In T: Online Learning and Bandits
Fan Yao · Chuanhao Li · Denis Nekipelov · Hongning Wang · Haifeng Xu
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 307
Retrieval-Augmented Reinforcement Learning
In Optimization/Reinforcement Learning
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
Neurocoder: General-Purpose Computation Using Stored Neural Programs
In Deep Learning
Hung Le · Svetha Venkatesh
Spotlight
Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 310
Scaling Structured Inference with Randomization
In Optimization/Probabilistic Methods
Yao Fu · John Cunningham · Mirella Lapata
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 309
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
In Reinforcement Learning/Optimization
Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 318 - 320
Active Nearest Neighbor Regression Through Delaunay Refinement
In Social Aspects/Optimization
Alexander Kravberg · Giovanni Luca Marchetti · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Hall F
Interventional Contrastive Learning with Meta Semantic Regularizer
In Deep Learning
Wenwen Qiang · Jiangmeng Li · Changwen Zheng · Bing Su · Hui Xiong
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 307
Robust Policy Learning over Multiple Uncertainty Sets
In Optimization/Reinforcement Learning
Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Hall G
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
In Applications/Optimization
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Improving Transformers with Probabilistic Attention Keys
In Deep Learning
Tam Nguyen · Tan Nguyen · Dung Le · Duy Khuong Nguyen · Viet-Anh Tran · Richard Baraniuk · Nhat Ho · Stanley Osher
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 301 - 303
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
In Applications/MISC
Xinrui Zu · Qian Tao
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 310
Discrete Tree Flows via Tree-Structured Permutations
In Optimization/Probabilistic Methods
Mai Elkady · Jim Lim · David I. Inouye
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 327 - 329
Online Learning with Knapsacks: the Best of Both Worlds
In Optimization/Theory
Matteo Castiglioni · Andrea Celli · Christian Kroer
Spotlight
Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Ballroom 3 & 4
Thresholded Lasso Bandit
In T: Online Learning and Bandits
Kaito Ariu · Kenshi Abe · Alexandre Proutiere
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 318 - 320
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
In Social Aspects/Optimization
Adil Salim · Lukang Sun · Peter Richtarik
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 309
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
In Reinforcement Learning/Optimization
Pedro Soto · Ilia Ilmer · Haibin Guan · Jun Li
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 310
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
In Optimization/Probabilistic Methods
Volodymyr Kuleshov · Shachi Deshpande
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 327 - 329
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
In Optimization/Theory
Jinghui Xia · Zengfeng Huang
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Hall G
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
In Applications/Optimization
Yan Huang · Ying Sun · Zehan Zhu · Changzhi Yan · Jinming Xu
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Hall F
On the Surrogate Gap between Contrastive and Supervised Losses
In Deep Learning
Han Bao · Yoshihiro Nagano · Kento Nozawa
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Ballroom 3 & 4
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
In T: Online Learning and Bandits
Aadirupa Saha · Pierre Gaillard
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 307
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
In Optimization/Reinforcement Learning
Siyi Hu · Chuanlong Xie · Xiaodan Liang · Xiaojun Chang
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Ballroom 1 & 2
Rethinking Attention-Model Explainability through Faithfulness Violation Test
In Deep Learning
Yibing Liu · Haoliang Li · Yangyang Guo · Chenqi KONG · Jing Li · Shiqi Wang
Spotlight
Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 301 - 303
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
In Applications/MISC
Geert-Jan Huizing · Laura Cantini · Gabriel Peyré
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 309
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
In Reinforcement Learning/Optimization
Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
In Deep Learning
Zihao Sun · Yu Hu · Shun Lu · Longxing Yang · Jilin Mei · Yinhe Han · Xiaowei Li
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Ballroom 3 & 4
Decentralized Online Convex Optimization in Networked Systems
In T: Online Learning and Bandits
Yiheng Lin · Judy Gan · Guannan Qu · Yash Kanoria · Adam Wierman
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Hall G
Iterative Double Sketching for Faster Least-Squares Optimization
In Applications/Optimization
Rui Wang · Yanyan Ouyang · Wangli Xu
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 301 - 303
Understanding Doubly Stochastic Clustering
In Applications/MISC
Tianjiao Ding · Derek Lim · Rene Vidal · Benjamin Haeffele
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 307
Learning Dynamics and Generalization in Deep Reinforcement Learning
In Optimization/Reinforcement Learning
Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal
Spotlight
Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Hall F
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
In Deep Learning
Bobby He · Mete Ozay
Reception
Thu Jul 21 02:00 PM -- 03:00 PM (PDT) @ Camden Lobby & Terrace
ICML Reception
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #100
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
In Poster Session 3
Steffen Schotthöfer · Tianbai Xiao · Martin Frank · Cory Hauck
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #102
Composing Partial Differential Equations with Physics-Aware Neural Networks
In Poster Session 3
Matthias Karlbauer · Timothy Praditia · Sebastian Otte · Sergey Oladyshkin · Wolfgang Nowak · Martin V Butz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #104
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
In Poster Session 3
Uri Alon · Frank Xu · Junxian He · Sudipta Sengupta · Dan Roth · Graham Neubig
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #106
Towards Coherent and Consistent Use of Entities in Narrative Generation
In Poster Session 3
Pinelopi Papalampidi · Kris Cao · Tomas Kocisky
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #110
Optimally Controllable Perceptual Lossy Compression
In Poster Session 3
Zeyu Yan · Fei Wen · Peilin Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #112
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
In Poster Session 3
QINGQING ZHAO · David B. Lindell · Gordon Wetzstein
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #114
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
In Poster Session 3
Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #116
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
In Poster Session 3
Mingrui Zhang · Jianhong Wang · James Tlhomole · Matthew Piggott
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #118
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
In Poster Session 3
Manuel Brenner · Florian Hess · Jonas M Mikhaeil · Leonard Bereska · Zahra Monfared · Po-Chen Kuo · Daniel Durstewitz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #120
An Intriguing Property of Geophysics Inversion
In Poster Session 3
Yinan Feng · Yinpeng Chen · Shihang Feng · Peng Jin · Zicheng Liu · Youzuo Lin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #122
Particle Transformer for Jet Tagging
In Poster Session 3
Huilin Qu · Congqiao Li · Sitian Qian
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #124
BabelTower: Learning to Auto-parallelized Program Translation
In Poster Session 3
Yuanbo Wen · Qi Guo · Qiang Fu · XiaQing Li · jianxing xu · Yanlin Tang · Yongwei Zhao · Xing Hu · Zidong Du · Ling Li · Chao Wang · Xuehai Zhou · Yunji Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #126
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
In Poster Session 3
Kaizhi Qian · Yang Zhang · Heting Gao · Junrui Ni · Cheng-I Lai · David Cox · Mark Hasegawa-Johnson · Shiyu Chang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #128
On Distribution Shift in Learning-based Bug Detectors
In Poster Session 3
Jingxuan He · Luca Beurer-Kellner · Martin Vechev
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #133
A Context-Integrated Transformer-Based Neural Network for Auction Design
In Poster Session 3
Zhijian Duan · Jingwu Tang · Yutong Yin · Zhe Feng · Xiang Yan · Manzil Zaheer · Xiaotie Deng
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #131
Domain Adaptation for Time Series Forecasting via Attention Sharing
In Poster Session 3
Xiaoyong Jin · Youngsuk Park · Danielle Robinson · Hao Wang · Yuyang Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #129
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
In Poster Session 3
Nabeel Seedat · Fergus Imrie · Alexis Bellot · Zhaozhi Qian · Mihaela van der Schaar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #127
Disentangling Disease-related Representation from Obscure for Disease Prediction
In Poster Session 3
Chu-ran Wang · Fei Gao · Fandong Zhang · Fangwei Zhong · Yizhou Yu · Yizhou Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #125
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
In Poster Session 3
Brandon Trabucco · Xinyang Geng · Aviral Kumar · Sergey Levine
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #123
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
In Poster Session 3
Seyed Kamyar Seyed Ghasemipour · Satoshi Kataoka · Byron David · Daniel Freeman · Shixiang Gu · Igor Mordatch
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #121
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
In Poster Session 3
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #119
Do Differentiable Simulators Give Better Policy Gradients?
In Poster Session 3
Hyung Ju Suh · Max Simchowitz · Kaiqing Zhang · Russ Tedrake
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #117
Adaptive Conformal Predictions for Time Series
In Poster Session 3
Margaux Zaffran · Olivier FERON · Yannig Goude · julie Josse · Aymeric Dieuleveut
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #115
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
In Poster Session 3
Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #113
Rethinking Graph Neural Networks for Anomaly Detection
In Poster Session 3
Jianheng Tang · Jiajin Li · Ziqi Gao · Jia Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #111
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
In Poster Session 3
Elvis Nava · John Zhang · Mike Yan Michelis · Tao Du · Pingchuan Ma · Benjamin F. Grewe · Wojciech Matusik · Robert Katzschmann
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #109
Proving Theorems using Incremental Learning and Hindsight Experience Replay
In Poster Session 3
Eser Aygün · Ankit Anand · Laurent Orseau · Xavier Glorot · Stephen McAleer · Vlad Firoiu · Lei Zhang · Doina Precup · Shibl Mourad
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #107
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
In Poster Session 3
Aviv Netanyahu · Tianmin Shu · Josh Tenenbaum · Pulkit Agrawal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #105
Neural Inverse Kinematic
In Poster Session 3
Raphael Bensadoun · Shir Gur · Nitsan Blau · Lior Wolf
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #208
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
In Poster Session 3
Nan Du · Yanping Huang · Andrew Dai · Simon Tong · Dmitry Lepikhin · Yuanzhong Xu · Maxim Krikun · Yanqi Zhou · Adams Wei Yu · Orhan Firat · Barret Zoph · William Fedus · Maarten Bosma · Zongwei Zhou · Tao Wang · Emma Wang · Kellie Webster · Marie Pellat · Kevin Robinson · Kathleen Meier-Hellstern · Toju Duke · Lucas Dixon · Kun Zhang · Quoc Le · Yonghui Wu · Zhifeng Chen · Claire Cui
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #210
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
In Poster Session 3
Mohammad Mahmudul Alam · Edward Raff · Tim Oates · James Holt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #212
Object Permanence Emerges in a Random Walk along Memory
In Poster Session 3
Pavel Tokmakov · Allan Jabri · Jie Li · Adrien Gaidon
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #214
Flow-Guided Sparse Transformer for Video Deblurring
In Poster Session 3
Jing Lin · Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Youliang Yan · Xueyi Zou · Henghui Ding · Yulun Zhang · Radu Timofte · Luc Van Gool
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #216
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
In Poster Session 3
Qingyang Tan · Zherong Pan · Breannan Smith · Takaaki Shiratori · Dinesh Manocha
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #218
Staged Training for Transformer Language Models
In Poster Session 3
Sheng Shen · Pete Walsh · Kurt Keutzer · Jesse Dodge · Matthew Peters · Iz Beltagy
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #220
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
In Poster Session 3
Martin Genzel · Ingo Gühring · Jan Macdonald · Maximilian März
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #222
Self-supervised learning with random-projection quantizer for speech recognition
In Poster Session 3
Chung-Cheng Chiu · James Qin · Yu Zhang · Jiahui Yu · Yonghui Wu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #224
Learning Multiscale Transformer Models for Sequence Generation
In Poster Session 3
Bei Li · Tong Zheng · yi jing · Chengbo Jiao · Tong Xiao · Jingbo Zhu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #226
NP-Match: When Neural Processes meet Semi-Supervised Learning
In Poster Session 3
Jianfeng Wang · Thomas Lukasiewicz · Daniela Massiceti · Xiaolin Hu · Vladimir Pavlovic · Alexandros Neophytou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #228
Revisiting End-to-End Speech-to-Text Translation From Scratch
In Poster Session 3
Biao Zhang · Barry Haddow · Rico Sennrich
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #230
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In Poster Session 3
Yamini Bansal · Behrooz Ghorbani · Ankush Garg · Biao Zhang · Colin Cherry · Behnam Neyshabur · Orhan Firat
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #232
Dialog Inpainting: Turning Documents into Dialogs
In Poster Session 3
Zhuyun Dai · Arun Tejasvi Chaganty · Vincent Zhao · Aida Amini · Qazi Mamunur Rashid · Mike Green · Kelvin Guu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #234
Does the Data Induce Capacity Control in Deep Learning?
In Poster Session 3
Rubing Yang · Jialin Mao · Pratik Chaudhari
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #236
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
In Poster Session 3
Chuan Wen · Jianing Qian · Jierui Lin · Jiaye Teng · Dinesh Jayaraman · Yang Gao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #237
Memory-Based Model Editing at Scale
In Poster Session 3
Eric Mitchell · Charles Lin · Antoine Bosselut · Christopher Manning · Chelsea Finn
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #235
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
In Poster Session 3
John Rachwan · Daniel Zügner · Bertrand Charpentier · Simon Geisler · Morgane Ayle · Stephan Günnemann
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #233
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
In Poster Session 3
Guy Hacohen · Avihu Dekel · Daphna Weinshall
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #229
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
In Poster Session 3
Byunggook Na · Jisoo Mok · Seongsik Park · Dongjin Lee · Hyeokjun Choe · Sungroh Yoon
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #227
Overcoming Oscillations in Quantization-Aware Training
In Poster Session 3
Markus Nagel · Marios Fournarakis · Yelysei Bondarenko · Tijmen Blankevoort
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #225
Dataset Condensation via Efficient Synthetic-Data Parameterization
In Poster Session 3
Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #223
Searching for BurgerFormer with Micro-Meso-Macro Space Design
In Poster Session 3
Longxing Yang · Yu Hu · Shun Lu · Zihao Sun · Jilin Mei · Yinhe Han · Xiaowei Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #221
Multi-scale Feature Learning Dynamics: Insights for Double Descent
In Poster Session 3
Mohammad Pezeshki · Amartya Mitra · Yoshua Bengio · Guillaume Lajoie
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #219
Dataset Condensation with Contrastive Signals
In Poster Session 3
Saehyung Lee · SANGHYUK CHUN · Sangwon Jung · Sangdoo Yun · Sungroh Yoon
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #217
Equivariant Priors for compressed sensing with unknown orientation
In Poster Session 3
Anna Kuzina · Kumar Pratik · Fabio Valerio Massoli · Arash Behboodi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #215
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
In Poster Session 3
Zhun Yang · Joohyung Lee · Chiyoun Park
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #213
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
In Poster Session 3
Sören Mindermann · Jan Brauner · Muhammed Razzak · Mrinank Sharma · Andreas Kirsch · Winnie Xu · Benedikt Höltgen · Aidan Gomez · Adrien Morisot · Sebastian Farquhar · Yarin Gal
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #211
A Neural Tangent Kernel Perspective of GANs
In Poster Session 3
Jean-Yves Franceschi · Emmanuel de Bézenac · Ibrahim Ayed · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #209
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
In Poster Session 3
Jen-Hao Rick Chang · Ashish Shrivastava · Hema Koppula · Xiaoshuai Zhang · Oncel Tuzel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #207
Neural Inverse Transform Sampler
In Poster Session 3
Henry Li · Yuval Kluger
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #205
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
In Poster Session 3
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #203
Diffusion Models for Adversarial Purification
In Poster Session 3
Weili Nie · Brandon Guo · Yujia Huang · Chaowei Xiao · Arash Vahdat · Animashree Anandkumar
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #201
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
In Poster Session 3
Junwen Bai · Shufeng Kong · Carla Gomes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #300
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
In Poster Session 3
Tathagat Verma · Abir De · Yateesh Agrawal · Vishwa Vinay · Soumen Chakrabarti
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #302
It’s Raw! Audio Generation with State-Space Models
In Poster Session 3
Karan Goel · Albert Gu · Chris Donahue · Christopher Re
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #304
Unsupervised Image Representation Learning with Deep Latent Particles
In Poster Session 3
Tal Daniel · Aviv Tamar
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #306
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
In Poster Session 3
Weiming Zhi · Tin Lai · Lionel Ott · Edwin V Bonilla · Fabio Ramos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #308
Neuro-Symbolic Hierarchical Rule Induction
In Poster Session 3
Claire Glanois · Zhaohui Jiang · Xuening Feng · Paul Weng · Matthieu Zimmer · Dong Li · Wulong Liu · Jianye Hao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #310
General-purpose, long-context autoregressive modeling with Perceiver AR
In Poster Session 3
Curtis Hawthorne · Andrew Jaegle · Cătălina Cangea · Sebastian Borgeaud · Charlie Nash · Mateusz Malinowski · Sander Dieleman · Oriol Vinyals · Matthew Botvinick · Ian Simon · Hannah Sheahan · Neil Zeghidour · Jean-Baptiste Alayrac · Joao Carreira · Jesse Engel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #312
Marginal Tail-Adaptive Normalizing Flows
In Poster Session 3
Mike Laszkiewicz · Johannes Lederer · Asja Fischer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #314
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
In Poster Session 3
Xiang Xu · Karl Willis · Joseph G Lambourne · Chin-Yi Cheng · Pradeep Kumar Jayaraman · Yasutaka Furukawa
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #316
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
In Poster Session 3
Shanyan Guan · Huayu Deng · Yunbo Wang · Xiaokang Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #318
Equivariance versus Augmentation for Spherical Images
In Poster Session 3
Jan Gerken · Oscar Carlsson · Hampus Linander · Fredrik Ohlsson · Christoffer Petersson · Daniel Persson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #320
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
In Poster Session 3
Charbel Sakr · Steve Dai · Rangha Venkatesan · Brian Zimmer · William Dally · Brucek Khailany
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #322
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
In Poster Session 3
Moein Khajehnejad · Forough Habibollahi · Richard Nock · Ehsan Arabzadeh · Peter Dayan · Amir Dezfouli
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #324
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
In Poster Session 3
Huan Zhang · Shiqi Wang · Kaidi Xu · Yihan Wang · Suman Jana · Cho-Jui Hsieh · Zico Kolter
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #326
GACT: Activation Compressed Training for Generic Network Architectures
In Poster Session 3
Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #328
Fast Finite Width Neural Tangent Kernel
In Poster Session 3
Roman Novak · Jascha Sohl-Dickstein · Samuel Schoenholz
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #330
G-Mixup: Graph Data Augmentation for Graph Classification
In Poster Session 3
Xiaotian Han · Zhimeng Jiang · Ninghao Liu · Xia Hu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #332
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
In Poster Session 3
Beren Millidge · Tommaso Salvatori · Yuhang Song · Thomas Lukasiewicz · Rafal Bogacz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #334
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
In Poster Session 3
Yan Zeng · Xinsong Zhang · Hang Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #336
Continual Learning with Guarantees via Weight Interval Constraints
In Poster Session 3
Maciej Wołczyk · Karol J. Piczak · Bartosz Wójcik · Łukasz Pustelnik · Paweł Morawiecki · Jacek Tabor · Tomasz Trzcinski · Przemysław Spurek
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #338
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
In Poster Session 3
Namuk Park · Songkuk Kim
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #337
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
In Poster Session 3
Julian Bitterwolf · Alexander Meinke · Maximilian Augustin · Matthias Hein
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #335
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
In Poster Session 3
Hidetaka Kamigaito · Katsuhiko Hayashi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #333
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
In Poster Session 3
Tianlong Chen · Huan Zhang · Zhenyu Zhang · Shiyu Chang · Sijia Liu · Pin-Yu Chen · Zhangyang “Atlas” Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #331
Adversarial Masking for Self-Supervised Learning
In Poster Session 3
Yuge Shi · Siddharth N · Phil Torr · Adam Kosiorek
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #329
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
In Poster Session 3
Zhuoning Yuan · Yuexin Wu · Zi-Hao Qiu · Xianzhi Du · Lijun Zhang · Denny Zhou · Tianbao Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #327
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In Poster Session 3
Peng Wang · An Yang · Rui Men · Junyang Lin · Shuai Bai · Zhikang Li · Jianxin Ma · Chang Zhou · Jingren Zhou · Hongxia Yang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #325
Multirate Training of Neural Networks
In Poster Session 3
Tiffany Vlaar · Benedict Leimkuhler
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #323
Variational Wasserstein gradient flow
In Poster Session 3
Jiaojiao Fan · Qinsheng Zhang · Amirhossein Taghvaei · Yongxin Chen
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #321
Building Robust Ensembles via Margin Boosting
In Poster Session 3
Dinghuai Zhang · Hongyang Zhang · Aaron Courville · Yoshua Bengio · Pradeep Ravikumar · Arun Sai Suggala
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #319
Investigating Generalization by Controlling Normalized Margin
In Poster Session 3
Alexander Farhang · Jeremy Bernstein · Kushal Tirumala · Yang Liu · Yisong Yue
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #317
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
In Poster Session 3
Kendrick Shen · Robbie Jones · Ananya Kumar · Sang Michael Xie · Jeff Z. HaoChen · Tengyu Ma · Percy Liang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #315
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
In Poster Session 3
Wangchunshu Zhou · Yan Zeng · shizhe diao · Xinsong Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #313
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
In Poster Session 3
Sihang Li · Xiang Wang · An Zhang · Ying-Xin Wu · Xiangnan He · Tat-Seng Chua
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #311
Graph Neural Architecture Search Under Distribution Shifts
In Poster Session 3
Yijian Qin · Xin Wang · Ziwei Zhang · Pengtao Xie · Wenwu Zhu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #309
How Powerful are Spectral Graph Neural Networks
In Poster Session 3
Xiyuan Wang · Muhan Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #307
Constraint-based graph network simulator
In Poster Session 3
Yulia Rubanova · Alvaro Sanchez-Gonzalez · Tobias Pfaff · Peter Battaglia
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #305
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
In Poster Session 3
Zehao Dong · Muhan Zhang · Fuhai Li · Yixin Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #303
Structure-Aware Transformer for Graph Representation Learning
In Poster Session 3
Dexiong Chen · Leslie O'Bray · Karsten Borgwardt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #301
Ripple Attention for Visual Perception with Sub-quadratic Complexity
In Poster Session 3
Lin Zheng · Huijie Pan · Lingpeng Kong
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #400
Self-supervised Models are Good Teaching Assistants for Vision Transformers
In Poster Session 3
Haiyan Wu · Yuting Gao · Yinqi Zhang · Shaohui Lin · Yuan Xie · Xing Sun · Ke Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #402
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
In Poster Session 3
Amin Ghiasi · Hamid Kazemi · Steven Reich · Chen Zhu · Micah Goldblum · Tom Goldstein
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #404
In defense of dual-encoders for neural ranking
In Poster Session 3
Aditya Menon · Sadeep Jayasumana · Ankit Singh Rawat · Seungyeon Kim · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #406
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
In Poster Session 3
Krzysztof Choromanski · Han Lin · Haoxian Chen · Tianyi Zhang · Arijit Sehanobish · Valerii Likhosherstov · Jack Parker-Holder · Tamas Sarlos · Adrian Weller · Thomas Weingarten
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #408
Linear Complexity Randomized Self-attention Mechanism
In Poster Session 3
Lin Zheng · Chong Wang · Lingpeng Kong
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #410
Efficient Representation Learning via Adaptive Context Pooling
In Poster Session 3
Chen Huang · Walter Talbott · Navdeep Jaitly · Joshua M Susskind
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #412
Toward Compositional Generalization in Object-Oriented World Modeling
In Poster Session 3
Linfeng Zhao · Lingzhi Kong · Robin Walters · Lawson Wong
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #414
Fast Population-Based Reinforcement Learning on a Single Machine
In Poster Session 3
Arthur Flajolet · Claire Bizon Monroc · Karim Beguir · Thomas Pierrot
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #416
NeuralEF: Deconstructing Kernels by Deep Neural Networks
In Poster Session 3
Zhijie Deng · Jiaxin Shi · Jun Zhu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #418
Visual Attention Emerges from Recurrent Sparse Reconstruction
In Poster Session 3
Baifeng Shi · Yale Song · Neel Joshi · Trevor Darrell · Xin Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #420
Transformer Quality in Linear Time
In Poster Session 3
Weizhe Hua · Zihang Dai · Hanxiao Liu · Quoc Le
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #422
What Dense Graph Do You Need for Self-Attention?
In Poster Session 3
Yuxin Wang · Chu-Tak Lee · Qipeng Guo · Zhangyue Yin · yunhua zhou · Xuanjing Huang · Xipeng Qiu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #424
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
In Poster Session 3
Tom Ron · Tamir Hazan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #426
Multi Resolution Analysis (MRA) for Approximate Self-Attention
In Poster Session 3
Zhanpeng Zeng · Sourav Pal · Jeffery Kline · Glenn Fung · Vikas Singh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #428
Dynamic Topic Models for Temporal Document Networks
In Poster Session 3
Delvin Zhang · Hady Lauw
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #432
A Functional Information Perspective on Model Interpretation
In Poster Session 3
Itai Gat · Nitay Calderon · Roi Reichart · Tamir Hazan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #434
Be Like Water: Adaptive Floating Point for Machine Learning
In Poster Session 3
Thomas Y. Yeh · Maxwell Sterner · Zerlina Lai · Brandon Chuang · Alexander Ihler
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #436
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
In Poster Session 3
Johannes Brandstetter · Max Welling · Daniel Worrall
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #438
Bregman Neural Networks
In Poster Session 3
Jordan Frecon · Gilles Gasso · Massimiliano Pontil · Saverio Salzo
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #439
Quantifying and Learning Linear Symmetry-Based Disentanglement
In Poster Session 3
Loek Tonnaer · Luis Armando Perez Rey · Vlado Menkovski · Mike Holenderski · Jacobus Portegies
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #437
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
In Poster Session 3
David Knigge · David Romero · Erik Bekkers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #435
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
In Poster Session 3
Zhengyang Shen · Tao Hong · Qi She · Jinwen Ma · Zhouchen Lin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #433
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
In Poster Session 3
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #431
(Non-)Convergence Results for Predictive Coding Networks
In Poster Session 3
Simon Frieder · Thomas Lukasiewicz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #429
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
In Poster Session 3
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #427
Measuring Representational Robustness of Neural Networks Through Shared Invariances
In Poster Session 3
Vedant Nanda · Till Speicher · Camila Kolling · John P Dickerson · Krishna Gummadi · Adrian Weller
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #425
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
In Poster Session 3
Kazuki Irie · Robert Cordas · Jürgen Schmidhuber
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #423
Flowformer: Linearizing Transformers with Conservation Flows
In Poster Session 3
Haixu Wu · Jialong Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #421
Spatial-Channel Token Distillation for Vision MLPs
In Poster Session 3
Yanxi Li · Xinghao Chen · Minjing Dong · Yehui Tang · Yunhe Wang · Chang Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #419
Neurocoder: General-Purpose Computation Using Stored Neural Programs
In Poster Session 3
Hung Le · Svetha Venkatesh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #417
Improving Transformers with Probabilistic Attention Keys
In Poster Session 3
Tam Nguyen · Tan Nguyen · Dung Le · Duy Khuong Nguyen · Viet-Anh Tran · Richard Baraniuk · Nhat Ho · Stanley Osher
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #415
Rethinking Attention-Model Explainability through Faithfulness Violation Test
In Poster Session 3
Yibing Liu · Haoliang Li · Yangyang Guo · Chenqi KONG · Jing Li · Shiqi Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #413
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
In Poster Session 3
Zihao Sun · Yu Hu · Shun Lu · Longxing Yang · Jilin Mei · Yinhe Han · Xiaowei Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #411
Convergence of Invariant Graph Networks
In Poster Session 3
Chen Cai · Yusu Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #409
Rich Feature Construction for the Optimization-Generalization Dilemma
In Poster Session 3
Jianyu Zhang · David Lopez-Paz · Léon Bottou
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #407
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
In Poster Session 3
Xingcheng Yao · Yanan Zheng · Xiaocong Yang · Zhilin Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #405
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
In Poster Session 3
Zhuangdi Zhu · Junyuan Hong · Steve Drew · Jiayu Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #403
Augment with Care: Contrastive Learning for Combinatorial Problems
In Poster Session 3
Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #401
Cycle Representation Learning for Inductive Relation Prediction
In Poster Session 3
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #500
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
In Poster Session 3
Mitchell Wortsman · Gabriel Ilharco · Samir Gadre · Rebecca Roelofs · Raphael Gontijo Lopes · Ari Morcos · Hongseok Namkoong · Ali Farhadi · Yair Carmon · Simon Kornblith · Ludwig Schmidt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #502
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
In Poster Session 3
Pranjal Awasthi · Nishanth Dikkala · Pritish Kamath
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #504
MetAug: Contrastive Learning via Meta Feature Augmentation
In Poster Session 3
Jiangmeng Li · Wenwen Qiang · Changwen Zheng · Bing Su · Hui Xiong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #506
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
In Poster Session 3
Yihao Xue · Kyle Whitecross · Baharan Mirzasoleiman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #508
Contrastive Learning with Boosted Memorization
In Poster Session 3
Zhihan Zhou · Jiangchao Yao · Yan-Feng Wang · Bo Han · Ya Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #510
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
In Poster Session 3
Kaiwen Yang · Tianyi Zhou · Xinmei Tian · Dacheng Tao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #512
Interventional Contrastive Learning with Meta Semantic Regularizer
In Poster Session 3
Wenwen Qiang · Jiangmeng Li · Changwen Zheng · Bing Su · Hui Xiong
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #514
On the Surrogate Gap between Contrastive and Supervised Losses
In Poster Session 3
Han Bao · Yoshihiro Nagano · Kento Nozawa
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #516
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
In Poster Session 3
Bobby He · Mete Ozay
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #518
Locally Sparse Neural Networks for Tabular Biomedical Data
In Poster Session 3
Junchen Yang · Ofir Lindenbaum · Yuval Kluger
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #520
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
In Poster Session 3
Jun-Yi Hang · Min-Ling Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #522
Detecting Corrupted Labels Without Training a Model to Predict
In Poster Session 3
Zhaowei Zhu · Zihao Dong · Yang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #524
Prototype-Anchored Learning for Learning with Imperfect Annotations
In Poster Session 3
Xiong Zhou · Xianming Liu · Deming Zhai · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #526
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
In Poster Session 3
Luc Brogat-Motte · Rémi Flamary · Celine Brouard · Juho Rousu · Florence d'Alché-Buc
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #528
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
In Poster Session 3
Huayi Tang · Yong Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #530
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
In Poster Session 3
Shuo Yang · Erkun Yang · Bo Han · Yang Liu · Min Xu · Gang Niu · Tongliang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #532
Invariant Ancestry Search
In Poster Session 3
Phillip Bredahl Mogensen · Nikolaj Thams · Jonas Peters
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #534
Unaligned Supervision for Automatic Music Transcription in The Wild
In Poster Session 3
Ben Maman · Amit Bermano
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #536
Fourier Learning with Cyclical Data
In Poster Session 3
Yingxiang Yang · Zhihan Xiong · Tianyi Liu · Taiqing Wang · Chong Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #538
Linear Adversarial Concept Erasure
In Poster Session 3
Shaul Ravfogel · Michael Twiton · Yoav Goldberg · Ryan Cotterell
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #539
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
In Poster Session 3
Paul Rolland · Volkan Cevher · Matthäus Kleindessner · Chris Russell · Dominik Janzing · Bernhard Schölkopf · Francesco Locatello
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #537
Provable Domain Generalization via Invariant-Feature Subspace Recovery
In Poster Session 3
Haoxiang Wang · Haozhe Si · Bo Li · Han Zhao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #535
Subspace Learning for Effective Meta-Learning
In Poster Session 3
Weisen JIANG · James Kwok · Yu Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #533
Continual Learning via Sequential Function-Space Variational Inference
In Poster Session 3
Tim G. J Rudner · Freddie Bickford Smith · QIXUAN FENG · Yee-Whye Teh · Yarin Gal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #529
Efficient Test-Time Model Adaptation without Forgetting
In Poster Session 3
Shuaicheng Niu · Jiaxiang Wu · Yifan Zhang · Yaofo Chen · Shijian Zheng · Peilin Zhao · Mingkui Tan
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #527
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
In Poster Session 3
Lu Bai · Lixin Cui · Edwin Hancock
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #525
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
In Poster Session 3
David Woodruff · Amir Zandieh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #523
Random Gegenbauer Features for Scalable Kernel Methods
In Poster Session 3
Insu Han · Amir Zandieh · Haim Avron
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #521
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
In Poster Session 3
Dong Chen · Lingfei Wu · Siliang Tang · Xiao Yun · Bo Long · Yueting Zhuang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #519
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
In Poster Session 3
Alex Lambert · Dimitri Bouche · Zoltan Szabo · Florence d'Alché-Buc
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #517
Measuring dissimilarity with diffeomorphism invariance
In Poster Session 3
Théophile Cantelobre · Carlo Ciliberto · Benjamin Guedj · Alessandro Rudi
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #515
Importance Weighted Kernel Bayes' Rule
In Poster Session 3
Liyuan Xu · Yutian Chen · Arnaud Doucet · Arthur Gretton
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #513
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
In Poster Session 3
Meyer Scetbon · Laurent Meunier · Yaniv Romano
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #511
Nyström Kernel Mean Embeddings
In Poster Session 3
Antoine Chatalic · Nicolas Schreuder · Lorenzo Rosasco · Alessandro Rudi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #509
Distribution Regression with Sliced Wasserstein Kernels
In Poster Session 3
Dimitri Marie Meunier · Massimiliano Pontil · Carlo Ciliberto
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #507
Learning Stable Classifiers by Transferring Unstable Features
In Poster Session 3
Yujia Bao · Shiyu Chang · Regina Barzilay
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #505
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
In Poster Session 3
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Yang Zhang · Shiyu Chang · Zhangyang “Atlas” Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #503
Attentional Meta-learners for Few-shot Polythetic Classification
In Poster Session 3
Ben Day · Ramon Viñas Torné · Nikola Simidjievski · Pietro Lió
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #501
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
In Poster Session 3
Yuka Hashimoto · Zhao Wang · Tomoko Matsui
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #600
Nonlinear Feature Diffusion on Hypergraphs
In Poster Session 3
Konstantin Prokopchik · Austin Benson · Francesco Tudisco
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #602
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
In Poster Session 3
Junyoung Park · Changwon Yoon · Cheolwoo Park · Jeongyoun Ahn
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #604
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
In Poster Session 3
Haoqi Yuan · Zongqing Lu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #606
Fast Provably Robust Decision Trees and Boosting
In Poster Session 3
Jun-Qi Guo · Ming-Zhuo Teng · Wei Gao · Zhi-Hua Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #608
Order Constraints in Optimal Transport
In Poster Session 3
Yu Chin Fabian Lim · Laura Wynter · Shiau Hong Lim
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #610
Sublinear-Time Clustering Oracle for Signed Graphs
In Poster Session 3
Stefan Neumann · Pan Peng
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #612
PAC-Bayesian Bounds on Rate-Efficient Classifiers
In Poster Session 3
Alhabib Abbas · Yiannis Andreopoulos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #614
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
In Poster Session 3
Osman Asif Malik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #616
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
In Poster Session 3
Momin Abbas · Quan Xiao · Lisha Chen · Pin-Yu Chen · Tianyi Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #618
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
In Poster Session 3
Hongchang Gao · Junyi Li · Heng Huang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #620
SPDY: Accurate Pruning with Speedup Guarantees
In Poster Session 3
Elias Frantar · Dan Alistarh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #622
Flashlight: Enabling Innovation in Tools for Machine Learning
In Poster Session 3
Jacob Kahn · Vineel Pratap · Tatiana Likhomanenko · Qiantong Xu · Awni Hannun · Jeff Cai · Paden Tomasello · Ann Lee · Edouard Grave · Gilad Avidov · Benoit Steiner · Vitaliy Liptchinsky · Gabriel Synnaeve · Ronan Collobert
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #624
On the Robustness of CountSketch to Adaptive Inputs
In Poster Session 3
Edith Cohen · Xin Lyu · Jelani Nelson · Tamas Sarlos · Moshe Shechner · Uri Stemmer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #626
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
In Poster Session 3
Jiechao Guan · Zhiwu Lu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #628
Wide Neural Networks Forget Less Catastrophically
In Poster Session 3
Seyed Iman Mirzadeh · Arslan Chaudhry · Dong Yin · Huiyi Hu · Razvan Pascanu · Dilan Gorur · Mehrdad Farajtabar
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #630
A Unified View on PAC-Bayes Bounds for Meta-Learning
In Poster Session 3
Arezou Rezazadeh
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #632
MAML and ANIL Provably Learn Representations
In Poster Session 3
Liam Collins · Aryan Mokhtari · Sewoong Oh · Sanjay Shakkottai
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #634
C-MinHash: Improving Minwise Hashing with Circulant Permutation
In Poster Session 3
Xiaoyun Li · Ping Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #636
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
In Poster Session 3
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #638
Safe Exploration for Efficient Policy Evaluation and Comparison
In Poster Session 3
Runzhe Wan · Branislav Kveton · Rui Song
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #639
Adversarial Attacks on Gaussian Process Bandits
In Poster Session 3
Eric Han · Jonathan Scarlett
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #637
GALAXY: Graph-based Active Learning at the Extreme
In Poster Session 3
Jifan Zhang · Julian Katz-Samuels · Robert Nowak
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #635
When Are Linear Stochastic Bandits Attackable?
In Poster Session 3
Huazheng Wang · Haifeng Xu · Hongning Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #633
UniRank: Unimodal Bandit Algorithms for Online Ranking
In Poster Session 3
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #631
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
In Poster Session 3
Nate Veldt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #629
Interactive Correlation Clustering with Existential Cluster Constraints
In Poster Session 3
Rico Angell · Nicholas Monath · Nishant Yadav · Andrew McCallum
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #627
Simultaneous Graph Signal Clustering and Graph Learning
In Poster Session 3
Abdullah Karaaslanli · Selin Aviyente
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #625
Bregman Power k-Means for Clustering Exponential Family Data
In Poster Session 3
Adithya D Vellal · Saptarshi Chakraborty · Jason Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #623
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
In Poster Session 3
Xinrui Zu · Qian Tao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #621
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
In Poster Session 3
Geert-Jan Huizing · Laura Cantini · Gabriel Peyré
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #619
Understanding Doubly Stochastic Clustering
In Poster Session 3
Tianjiao Ding · Derek Lim · Rene Vidal · Benjamin Haeffele
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #617
Faster Fundamental Graph Algorithms via Learned Predictions
In Poster Session 3
Justin Chen · Sandeep Silwal · Ali Vakilian · Fred Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #615
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
In Poster Session 3
Lorenzo Orecchia · Konstantinos Ameranis · Charalampos Tsourakakis · Kunal Talwar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #613
Fair and Fast k-Center Clustering for Data Summarization
In Poster Session 3
Haris Angelidakis · Adam Kurpisz · Leon Sering · Rico Zenklusen
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #611
Online and Consistent Correlation Clustering
In Poster Session 3
Vincent Cohen-Addad · Silvio Lattanzi · Andreas Maggiori · Nikos Parotsidis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #609
Generalized Leverage Scores: Geometric Interpretation and Applications
In Poster Session 3
Bruno Ordozgoiti · Antonis Matakos · Aristides Gionis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #607
Adapting k-means Algorithms for Outliers
In Poster Session 3
Christoph Grunau · Vaclav Rozhon
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #605
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
In Poster Session 3
Karan Chadha · Gary Cheng · John Duchi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #603
Online Algorithms with Multiple Predictions
In Poster Session 3
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #601
Parsimonious Learning-Augmented Caching
In Poster Session 3
Sungjin Im · Ravi Kumar · Aditya Petety · Manish Purohit
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #700
RUMs from Head-to-Head Contests
In Poster Session 3
Matteo Almanza · Flavio Chierichetti · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #702
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
In Poster Session 3
Rahul Mazumder · Xiang Meng · Haoyue Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #704
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
In Poster Session 3
Cedric Malherbe · Kevin Scaman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #706
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
In Poster Session 3
Alina Ene · Huy Nguyen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #708
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
In Poster Session 3
Zijian Liu · Ta Duy Nguyen · Alina Ene · Huy Nguyen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #710
Adaptive Second Order Coresets for Data-efficient Machine Learning
In Poster Session 3
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #712
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
In Poster Session 3
Trang Tran · Katya Scheinberg · Lam Nguyen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #714
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
In Poster Session 3
Valentin Durante · George Katsirelos · Thomas Schiex
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #716
Deletion Robust Submodular Maximization over Matroids
In Poster Session 3
PAUL DUETTING · Federico Fusco · Silvio Lattanzi · Ashkan Norouzi-Fard · Morteza Zadimoghaddam
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #718
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
In Poster Session 3
Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #720
Instance Dependent Regret Analysis of Kernelized Bandits
In Poster Session 3
Shubhanshu Shekhar · Tara Javidi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #722
Proximal and Federated Random Reshuffling
In Poster Session 3
Konstantin Mishchenko · Ahmed Khaled · Peter Richtarik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #724
Federated Learning with Partial Model Personalization
In Poster Session 3
Krishna Pillutla · Kshitiz Malik · Abdel-rahman Mohamed · Michael Rabbat · Maziar Sanjabi · Lin Xiao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #726
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
In Poster Session 3
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #728
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
In Poster Session 3
Yan Huang · Ying Sun · Zehan Zhu · Changzhi Yan · Jinming Xu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #732
Iterative Double Sketching for Faster Least-Squares Optimization
In Poster Session 3
Rui Wang · Yanyan Ouyang · Wangli Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #734
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
In Poster Session 3
Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #736
A Regret Minimization Approach to Multi-Agent Control
In Poster Session 3
Udaya Ghai · Udari Madhuhshani · Naomi Leonard · Elad Hazan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #738
Multi-slots Online Matching with High Entropy
In Poster Session 3
XINGYU LU · Qintong Wu · WENLIANG ZHONG
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #739
Decision-Focused Learning: Through the Lens of Learning to Rank
In Poster Session 3
Jayanta Mandi · Víctor Bucarey · Maxime Mulamba Ke Tchomba · Tias Guns
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #737
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
In Poster Session 3
Pedro Soto · Ilia Ilmer · Haibin Guan · Jun Li
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #735
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
In Poster Session 3
Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #733
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
In Poster Session 3
Sokbae Lee · Serena Ng
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #731
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
In Poster Session 3
Aram-Alexandre Pooladian · Marco Cuturi · Jonathan Niles-Weed
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #729
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
In Poster Session 3
Tim Tsz-Kit Lau · Han Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #727
Active Nearest Neighbor Regression Through Delaunay Refinement
In Poster Session 3
Alexander Kravberg · Giovanni Luca Marchetti · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #725
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
In Poster Session 3
Adil Salim · Lukang Sun · Peter Richtarik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #723
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
In Poster Session 3
Hui-Po Wang · Sebastian Stich · Yang He · Mario Fritz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #721
Federated Learning with Label Distribution Skew via Logits Calibration
In Poster Session 3
Jie Zhang · Zhiqi Li · Bo Li · Jianghe Xu · Shuang Wu · Shouhong Ding · Chao Wu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #719
Adaptive Random Walk Gradient Descent for Decentralized Optimization
In Poster Session 3
Tao Sun · Dongsheng Li · Bao Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #717
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
In Poster Session 3
Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #715
Secure Distributed Training at Scale
In Poster Session 3
Eduard Gorbunov · Alexander Borzunov · Michael Diskin · Max Ryabinin
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #713
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
In Poster Session 3
Karl Bäckström · Marina Papatriantafilou · Philippas Tsigas
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #711
Anarchic Federated Learning
In Poster Session 3
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #709
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
In Poster Session 3
Zhenheng Tang · Yonggang Zhang · Shaohuai Shi · Xin He · Bo Han · Xiaowen Chu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #707
Global Optimization Networks
In Poster Session 3
Sen Zhao · Erez Louidor · Maya Gupta
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #705
Generalized Federated Learning via Sharpness Aware Minimization
In Poster Session 3
Zhe Qu · Xingyu Li · Rui Duan · Yao Liu · Bo Tang · Zhuo Lu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #703
Delay-Adaptive Step-sizes for Asynchronous Learning
In Poster Session 3
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #701
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
In Poster Session 3
Fan Lai · Yinwei Dai · Sanjay Singapuram · Jiachen Liu · Xiangfeng Zhu · Harsha Madhyastha · Mosharaf Chowdhury
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #800
Learning Augmented Binary Search Trees
In Poster Session 3
Honghao Lin · Tian Luo · David Woodruff
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #802
Communication-efficient Distributed Learning for Large Batch Optimization
In Poster Session 3
Rui Liu · Barzan Mozafari
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #804
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
In Poster Session 3
Giuseppe Bruno De Luca · Eva Silverstein
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #806
A Simple Guard for Learned Optimizers
In Poster Session 3
Isabeau Prémont-Schwarz · Jaroslav Vítků · Jan Feyereisl
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #808
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
In Poster Session 3
Jihwan Jeong · Parth Jaggi · Andrew Butler · Scott Sanner
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #810
Multi-Level Branched Regularization for Federated Learning
In Poster Session 3
Jinkyu Kim · Geeho Kim · Bohyung Han
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #812
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
In Poster Session 3
Alexandre Capone · Armin Lederer · Sandra Hirche
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #814
Input Dependent Sparse Gaussian Processes
In Poster Session 3
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #816
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
In Poster Session 3
Da Long · Zheng Wang · Aditi Krishnapriyan · Robert Kirby · Shandian Zhe · Michael Mahoney
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #818
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
In Poster Session 3
Konstantinos Kalais · Sotirios Chatzis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #820
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
In Poster Session 3
Zheng Wang · Shandian Zhe
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #822
Nonparametric Embeddings of Sparse High-Order Interaction Events
In Poster Session 3
Zheng Wang · Yiming Xu · Conor Tillinghast · Shibo Li · Akil Narayan · Shandian Zhe
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #824
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
In Poster Session 3
Javier Antorán · David Janz · James Allingham · Erik Daxberger · Riccardo Barbano · Eric Nalisnick · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #826
NOMU: Neural Optimization-based Model Uncertainty
In Poster Session 3
Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #828
Bayesian Model Selection, the Marginal Likelihood, and Generalization
In Poster Session 3
Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #830
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
In Poster Session 3
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #832
Scaling Structured Inference with Randomization
In Poster Session 3
Yao Fu · John Cunningham · Mirella Lapata
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #834
Discrete Tree Flows via Tree-Structured Permutations
In Poster Session 3
Mai Elkady · Jim Lim · David I. Inouye
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #836
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
In Poster Session 3
Volodymyr Kuleshov · Shachi Deshpande
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #838
The Importance of Non-Markovianity in Maximum State Entropy Exploration
In Poster Session 3
Mirco Mutti · Riccardo De Santi · Marcello Restelli
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #837
Continuous Control with Action Quantization from Demonstrations
In Poster Session 3
Robert Dadashi · Léonard Hussenot · Damien Vincent · Sertan Girgin · Anton Raichuk · Matthieu Geist · Olivier Pietquin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #835
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
In Poster Session 3
Minghuan Liu · Zhengbang Zhu · Yuzheng Zhuang · Weinan Zhang · Jianye Hao · Yong Yu · Jun Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #833
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
In Poster Session 3
Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #829
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
In Poster Session 3
Angelo Damiani · Giorgio Manganini · Alberto Maria Metelli · Marcello Restelli
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #827
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
In Poster Session 3
Brian Ziebart · Sanjiban Choudhury · Xinyan Yan · Paul Vernaza
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #825
Causal Imitation Learning under Temporally Correlated Noise
In Poster Session 3
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #823
Interactive Inverse Reinforcement Learning for Cooperative Games
In Poster Session 3
Thomas Kleine Buening · Anne-Marie George · Christos Dimitrakakis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #821
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
In Poster Session 3
Weichao Zhou · Wenchao Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #819
Robust Imitation Learning against Variations in Environment Dynamics
In Poster Session 3
Jongseong Chae · Seungyul Han · Whiyoung Jung · MYUNG-SIK CHO · Sungho Choi · Youngchul Sung
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #817
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
In Poster Session 3
Haoran Xu · Xianyuan Zhan · Honglei Yin · Huiling qin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #815
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
In Poster Session 3
ZHIHAN LIU · Yufeng Zhang · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #813
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
In Poster Session 3
Simone Parisi · Aravind Rajeswaran · Senthil Purushwalkam · Abhinav Gupta
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #811
COLA: Consistent Learning with Opponent-Learning Awareness
In Poster Session 3
Timon Willi · Alistair Letcher · Johannes Treutlein · Jakob Foerster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #809
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
In Poster Session 3
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #807
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
In Poster Session 3
Khanh Nguyen · Yonatan Bisk · Hal Daumé III
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #805
Learning Stochastic Shortest Path with Linear Function Approximation
In Poster Session 3
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #803
Difference Advantage Estimation for Multi-Agent Policy Gradients
In Poster Session 3
yueheng li · Guangming Xie · Zongqing Lu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #801
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
In Poster Session 3
Ling Pan · Longbo Huang · Tengyu Ma · Huazhe Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #900
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
In Poster Session 3
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #902
Learning Bellman Complete Representations for Offline Policy Evaluation
In Poster Session 3
Jonathan Chang · Kaiwen Wang · Nathan Kallus · Wen Sun
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #904
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
In Poster Session 3
Nathan Kallus · Xiaojie Mao · Kaiwen Wang · Zhengyuan Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #906
A Simple Reward-free Approach to Constrained Reinforcement Learning
In Poster Session 3
Sobhan Miryoosefi · Chi Jin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #908
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
In Poster Session 3
Jason Yecheng Ma · Andrew Shen · Dinesh Jayaraman · Osbert Bastani
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #910
Temporal Difference Learning for Model Predictive Control
In Poster Session 3
Nicklas Hansen · Hao Su · Xiaolong Wang
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #912
Model Selection in Batch Policy Optimization
In Poster Session 3
Jonathan Lee · George Tucker · Ofir Nachum · Bo Dai
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #914
Adversarially Trained Actor Critic for Offline Reinforcement Learning
In Poster Session 3
Ching-An Cheng · Tengyang Xie · Nan Jiang · Alekh Agarwal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #916
Optimal Estimation of Policy Gradient via Double Fitted Iteration
In Poster Session 3
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #918
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
In Poster Session 3
Hongyi Guo · Qi Cai · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #920
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
In Poster Session 3
Ruiqi Zhang · Xuezhou Zhang · Chengzhuo Ni · Mengdi Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #922
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
In Poster Session 3
Huang Bojun
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #924
On the Role of Discount Factor in Offline Reinforcement Learning
In Poster Session 3
Hao Hu · yiqin yang · Qianchuan Zhao · Chongjie Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #926
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
In Poster Session 3
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #928
Tell me why! Explanations support learning relational and causal structure
In Poster Session 3
Andrew Lampinen · Nicholas Roy · Ishita Dasgupta · Stephanie Chan · Allison Tam · James McClelland · Chen Yan · Adam Santoro · Neil Rabinowitz · Jane Wang · Feilx Hill
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #930
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
In Poster Session 3
Matthias Weissenbacher · Samrath Sinha · Animesh Garg · Yoshinobu Kawahara
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #932
Generalised Policy Improvement with Geometric Policy Composition
In Poster Session 3
Shantanu Thakoor · Mark Rowland · Diana Borsa · Will Dabney · Remi Munos · Andre Barreto
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #934
Offline Meta-Reinforcement Learning with Online Self-Supervision
In Poster Session 3
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #936
Divergence-Regularized Multi-Agent Actor-Critic
In Poster Session 3
Kefan Su · Zongqing Lu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #929
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
In Poster Session 3
Shuang Wu · Ling Shi · Jun Wang · Guangjian Tian
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #927
Off-Policy Reinforcement Learning with Delayed Rewards
In Poster Session 3
Beining Han · Zhizhou Ren · Zuofan Wu · Yuan Zhou · Jian Peng
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #923
Direct Behavior Specification via Constrained Reinforcement Learning
In Poster Session 3
Julien Roy · Roger Girgis · Joshua Romoff · Pierre-Luc Bacon · Christopher Pal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #921
Large Batch Experience Replay
In Poster Session 3
Thibault Lahire · Matthieu Geist · Emmanuel Rachelson
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #919
Evolving Curricula with Regret-Based Environment Design
In Poster Session 3
Jack Parker-Holder · Minqi Jiang · Michael Dennis · Mikayel Samvelyan · Jakob Foerster · Edward Grefenstette · Tim Rocktäschel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #915
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
In Poster Session 3
Junlin Wu · Yevgeniy Vorobeychik
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #913
Transformers are Meta-Reinforcement Learners
In Poster Session 3
Luckeciano Melo
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #911
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In Poster Session 3
Litian Liang · Yaosheng Xu · Stephen Mcaleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #909
Constrained Variational Policy Optimization for Safe Reinforcement Learning
In Poster Session 3
Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #907
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
In Poster Session 3
Amrit Singh Bedi · Souradip Chakraborty · Anjaly Parayil · Brian Sadler · Pratap Tokekar · Alec Koppel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #905
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
In Poster Session 3
Iou-Jen Liu · Xingdi Yuan · Marc-Alexandre Côté · Pierre-Yves Oudeyer · Alex Schwing
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #903
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
In Poster Session 3
Adam Villaflor · Zhe Huang · Swapnil Pande · John Dolan · Jeff Schneider
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1002
An Analytical Update Rule for General Policy Optimization
In Poster Session 3
Hepeng Li · Nicholas Clavette · Haibo He
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1004
Making Linear MDPs Practical via Contrastive Representation Learning
In Poster Session 3
Tianjun Zhang · Tongzheng Ren · Mengjiao Yang · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1006
Flow-based Recurrent Belief State Learning for POMDPs
In Poster Session 3
Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1008
A Parametric Class of Approximate Gradient Updates for Policy Optimization
In Poster Session 3
Ramki Gummadi · Saurabh Kumar · Junfeng Wen · Dale Schuurmans
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1010
Retrieval-Augmented Reinforcement Learning
In Poster Session 3
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1012
Robust Policy Learning over Multiple Uncertainty Sets
In Poster Session 3
Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1014
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
In Poster Session 3
Siyi Hu · Chuanlong Xie · Xiaodan Liang · Xiaojun Chang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1018
Learning Dynamics and Generalization in Deep Reinforcement Learning
In Poster Session 3
Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1020
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
In Poster Session 3
Daniil Tiapkin · Denis Belomestny · Eric Moulines · Alexey Naumov · Sergey Samsonov · Yunhao Tang · Michal Valko · Pierre Menard
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
In Poster Session 3
Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1026
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
In Poster Session 3
Arnab Kumar Mondal · Vineet Jain · Kaleem Siddiqi · Siamak Ravanbakhsh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #1028
Imitation Learning by Estimating Expertise of Demonstrators
In Poster Session 3
Mark Beliaev · Andy Shih · Stefano Ermon · Dorsa Sadigh · Ramtin Pedarsani
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1027
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
In Poster Session 3
Ryan Sullivan · Jordan Terry · Benjamin Black · John P Dickerson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1025
Off-Policy Evaluation for Large Action Spaces via Embeddings
In Poster Session 3
Yuta Saito · Thorsten Joachims
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1023
Online Decision Transformer
In Poster Session 3
Qinqing Zheng · Amy Zhang · Aditya Grover
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1021
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
In Poster Session 3
Jan Kaiser · Oliver Stein · Annika Eichler
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1019
How to Leverage Unlabeled Data in Offline Reinforcement Learning
In Poster Session 3
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1017
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
In Poster Session 3
Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1015
A Psychological Theory of Explainability
In Poster Session 3
Scott Cheng-Hsin Yang · Nils Erik Tomas Folke · Patrick Shafto
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1013
Task-aware Privacy Preservation for Multi-dimensional Data
In Poster Session 3
Jiangnan Cheng · Ao Tang · Sandeep Chinchali
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1011
Strategic Representation
In Poster Session 3
Vineet Nair · Ganesh Ghalme · Inbal Talgam-Cohen · Nir Rosenfeld
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1009
Causal Conceptions of Fairness and their Consequences
In Poster Session 3
Hamed Nilforoshan · Johann Gaebler · Ravi Shroff · Sharad Goel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1007
Fairness with Adaptive Weights
In Poster Session 3
Junyi Chai · Xiaoqian Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1001
Understanding Instance-Level Impact of Fairness Constraints
In Poster Session 3
Jialu Wang · Xin Eric Wang · Yang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1003
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
In Poster Session 3
Peizhao Li · Hongfu Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1106
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
In Poster Session 3
Jean-Rémy Conti · Nathan NOIRY · Stephan Clemencon · Vincent Despiegel · Stéphane Gentric
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1108
Selective Regression under Fairness Criteria
In Poster Session 3
Abhin Shah · Yuheng Bu · Joshua Lee · Subhro Das · Rameswar Panda · Prasanna Sattigeri · Gregory Wornell
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1110
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
In Poster Session 3
Jiayin Jin · Zeru Zhang · Yang Zhou · Lingfei Wu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1112
Generalized Strategic Classification and the Case of Aligned Incentives
In Poster Session 3
Sagi Levanon · Nir Rosenfeld
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1114
Improving Screening Processes via Calibrated Subset Selection
In Poster Session 3
Luke Lequn Wang · Thorsten Joachims · Manuel Gomez-Rodriguez
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1116
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
In Poster Session 3
Lucas Agussurja · Xinyi Xu · Bryan Kian Hsiang Low
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1118
Data-SUITE: Data-centric identification of in-distribution incongruous examples
In Poster Session 3
Nabeel Seedat · Jonathan Crabbé · Mihaela van der Schaar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1120
Counterfactual Prediction for Outcome-Oriented Treatments
In Poster Session 3
Hao Zou · Bo Li · Jiangang Han · Shuiping Chen · Xuetao Ding · Peng Cui
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1122
Optimal Algorithms for Mean Estimation under Local Differential Privacy
In Poster Session 3
Hilal Asi · Vitaly Feldman · Kunal Talwar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1124
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
In Poster Session 3
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1126
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
In Poster Session 3
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1125
Shuffle Private Linear Contextual Bandits
In Poster Session 3
Sayak Ray Chowdhury · Xingyu Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1123
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
In Poster Session 3
Laixi Shi · Gen Li · Yuting Wei · Yuxin Chen · Yuejie Chi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1121
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
In Poster Session 3
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1119
Label Ranking through Nonparametric Regression
In Poster Session 3
Dimitris Fotakis · Alkis Kalavasis · Eleni Psaroudaki
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1117
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
In Poster Session 3
Dan Qiao · Ming Yin · Ming Min · Yu-Xiang Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1115
A Simple Unified Framework for High Dimensional Bandit Problems
In Poster Session 3
Wenjie Li · Adarsh Barik · Jean Honorio
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1113
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
In Poster Session 3
Jiahao He · Jiheng Zhang · Rachel Q. Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1111
Branching Reinforcement Learning
In Poster Session 3
Yihan Du · Wei Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1109
Fast rates for noisy interpolation require rethinking the effect of inductive bias
In Poster Session 3
Konstantin Donhauser · Nicolò Ruggeri · Stefan Stojanovic · Fanny Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1107
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
In Poster Session 3
Haoyuan Cai · Tengyu Ma · Simon Du
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1101
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
In Poster Session 3
sajad khodadadian · PRANAY SHARMA · Gauri Joshi · Siva Maguluri
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1103
Entropic Gromov-Wasserstein between Gaussian Distributions
In Poster Session 3
Khang Le · Dung Le · Huy Nguyen · · Tung Pham · Nhat Ho
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1206
No-Regret Learning in Partially-Informed Auctions
In Poster Session 3
Wenshuo Guo · Michael Jordan · Ellen Vitercik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1208
On Last-Iterate Convergence Beyond Zero-Sum Games
In Poster Session 3
Ioannis Anagnostides · Ioannis Panageas · Gabriele Farina · Tuomas Sandholm
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1210
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
In Poster Session 3
Gabriele Farina · Chung-Wei Lee · Haipeng Luo · Christian Kroer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1212
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
In Poster Session 3
Lucas Baudin · Rida Laraki
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1214
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
In Poster Session 3
Gregory Dexter · Agniva Chowdhury · Haim Avron · Petros Drineas
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1216
Nested Bandits
In Poster Session 3
Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier · Houssam Zenati
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1218
Information Discrepancy in Strategic Learning
In Poster Session 3
Yahav Bechavod · Chara Podimata · Steven Wu · Juba Ziani
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1220
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
In Poster Session 3
Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1222
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
In Poster Session 3
Martino Bernasconi · Federico Cacciamani · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti · Francesco Trovò
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1224
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
In Poster Session 3
Luca Carminati · Federico Cacciamani · Marco Ciccone · Nicola Gatti
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1221
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
In Poster Session 3
Sonja Kraiczy · Edith Elkind
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1219
Selling Data To a Machine Learner: Pricing via Costly Signaling
In Poster Session 3
Junjie Chen · Minming Li · Haifeng Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1217
Hardness and Algorithms for Robust and Sparse Optimization
In Poster Session 3
Eric Price · Sandeep Silwal · Samson Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1215
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
In Poster Session 3
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1213
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
In Poster Session 3
Qixin Zhang · Zengde Deng · Zaiyi Chen · Haoyuan Hu · Yu Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1211
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
In Poster Session 3
Jungbin Kim · Insoon Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1207
The Complexity of k-Means Clustering when Little is Known
In Poster Session 3
Robert Ganian · Thekla Hamm · Viktoriia Korchemna · Karolina Okrasa · Kirill Simonov
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1209
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
In Poster Session 3
Kyriakos Axiotis ·
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1310
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
In Poster Session 3
Peter Richtarik · Igor Sokolov · Elnur Gasanov · Ilyas Fatkhullin · Zhize Li · Eduard Gorbunov
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1312
Nearly Optimal Catoni’s M-estimator for Infinite Variance
In Poster Session 3
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1314
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
In Poster Session 3
Tianrui Chen · Aditya Gangrade · Venkatesh Saligrama
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1316
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
In Poster Session 3
Oisin Faust · Hamza Fawzi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1318
Contextual Information-Directed Sampling
In Poster Session 3
Botao Hao · Tor Lattimore · Chao Qin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1320
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
In Poster Session 3
Avishek Ghosh · Abishek Sankararaman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1319
Universal and data-adaptive algorithms for model selection in linear contextual bandits
In Poster Session 3
Vidya Muthukumar · Akshay Krishnamurthy
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1317
Regret Minimization with Performative Feedback
In Poster Session 3
Meena Jagadeesan · Tijana Zrnic · Celestine Mendler-Dünner
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1315
A Simple yet Universal Strategy for Online Convex Optimization
In Poster Session 3
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1309
Deep Hierarchy in Bandits
In Poster Session 3
Joey Hong · Branislav Kveton · Sumeet Katariya · Manzil Zaheer · Mohammad Ghavamzadeh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1311
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
In Poster Session 3
Sho Takemori
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1409
Asymptotically-Optimal Gaussian Bandits with Side Observations
In Poster Session 3
Alexia Atsidakou · Orestis Papadigenopoulos · Constantine Caramanis · Sujay Sanghavi · Sanjay Shakkottai
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1414
Learning from a Learning User for Optimal Recommendations
In Poster Session 3
Fan Yao · Chuanhao Li · Denis Nekipelov · Hongning Wang · Haifeng Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1416
Thresholded Lasso Bandit
In Poster Session 3
Kaito Ariu · Kenshi Abe · Alexandre Proutiere
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1418
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
In Poster Session 3
Aadirupa Saha · Pierre Gaillard
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1411
Decentralized Online Convex Optimization in Networked Systems
In Poster Session 3
Yiheng Lin · Judy Gan · Guannan Qu · Yash Kanoria · Adam Wierman
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1413
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
In Poster Session 3
Xuezhou Zhang · Yuda Song · Masatoshi Uehara · Mengdi Wang · Alekh Agarwal · Wen Sun
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1420
Sketching Algorithms and Lower Bounds for Ridge Regression
In Poster Session 3
Praneeth Kacham · David Woodruff
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1422
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
In Poster Session 3
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1424
Utility Theory for Sequential Decision Making
In Poster Session 3
Mehran Shakerinava · Siamak Ravanbakhsh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1426
Online Learning with Knapsacks: the Best of Both Worlds
In Poster Session 3
Matteo Castiglioni · Andrea Celli · Christian Kroer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1428
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
In Poster Session 3
Jinghui Xia · Zengfeng Huang
Session
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E
Poster Session 3
Break
Fri Jul 22 03:30 AM -- 03:45 AM (PDT) None
Breakfast on your own
Workshop
Fri Jul 22 05:00 AM -- 03:00 PM (PDT) @ Room 314 - 315 None
The 1st Workshop on Healthcare AI and COVID-19
Peng Xu · Tingting Zhu · Pengkai Zhu · Tianrui Chen · David Clifton · Danielle Belgrave · Yuanting Zhang
Workshop
Fri Jul 22 05:30 AM -- 02:30 PM (PDT) @ Room 310
ICML 2022 Workshop on Computational Biology
Cassandra Burdziak · Yubin Xie · Amine Remita · Mauricio Tec · Achille O R Nazaret · Pascal Notin · Mafalda Dias · Steffan Paul · Cameron Park · Dana Pe'er · Debora Marks · Alexander Anderson · Elham Azizi · Abdoulaye Baniré Diallo · Wesley Tansey · Julia Vogt · Sandhya Prabhakaran
Workshop
Fri Jul 22 05:40 AM -- 04:30 PM (PDT) @ Room 309 None
Adaptive Experimental Design and Active Learning in the Real World
Mojmir Mutny · Willie Neiswanger · Ilija Bogunovic · Stefano Ermon · Yisong Yue · Andreas Krause
Workshop
Fri Jul 22 05:45 AM -- 04:30 PM (PDT) @ Room 340 - 342
Spurious correlations, Invariance, and Stability (SCIS)
Aahlad Puli · Maggie Makar · Victor Veitch · Yoav Wald · Mark Goldstein · Limor Gultchin · Angela Zhou · Uri Shalit · Suchi Saria
Workshop
Fri Jul 22 05:45 AM -- 03:00 PM (PDT) @ Room 318 - 320
Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Tegan Emerson · Tim Doster · Henry Kvinge · Alexander Cloninger · Sarah Tymochko
Workshop
Fri Jul 22 05:45 AM -- 05:00 PM (PDT) @ Room 337 - 338 None
Machine Learning for Astrophysics
Francois Lanusse · Marc Huertas-Company · Vanessa Boehm · Brice Menard · Xavier Prochaska · Uros Seljak · Francisco Villaescusa-Navarro · Ashley Villar
Workshop
Fri Jul 22 05:45 AM -- 03:00 PM (PDT) @ Room 308 None
Workshop on Formal Verification of Machine Learning
Huan Zhang · Leslie Rice · Kaidi Xu · aditi raghunathan · Wan-Yi Lin · Cho-Jui Hsieh · Clark Barrett · Martin Vechev · Zico Kolter
Workshop
Fri Jul 22 05:45 AM -- 03:30 PM (PDT) @ Room 321 - 323
ICML workshop on Machine Learning for Cybersecurity (ICML-ML4Cyber)
John Emanuello · Andy Applebaum · William Arbaugh · Jack Davidson · Joseph Edappully · H. Howie Huang · Andrew Golczynski · Nicole Nichols · Tejas Patel · Ahmad Ridley · Vance Wong
Workshop
Fri Jul 22 05:45 AM -- 03:00 PM (PDT) @ Ballroom 3 None
DataPerf: Benchmarking Data for Data-Centric AI
Lora Aroyo · Newsha Ardalani · Colby Banbury · Gregory Diamos · William Gaviria Rojas · Tzu-Sheng Kuo · Mark Mazumder · Peter Mattson · Praveen Paritosh
Workshop
Fri Jul 22 05:45 AM -- 03:00 PM (PDT) @ Ballroom 2
Beyond Bayes: Paths Towards Universal Reasoning Systems
Zenna Tavares · Emily Mackevicius · Elias Bingham · Nan Rosemary Ke · Talia Ringer · Armando Solar-Lezama · Nada Amin · John Krakauer · Robert O Ness · Alexis Avedisian
Workshop
Fri Jul 22 05:45 AM -- 02:40 PM (PDT) @ Hall F
Knowledge Retrieval and Language Models
Maithra Raghu · Urvashi Khandelwal · Chiyuan Zhang · Matei Zaharia · Alexander Rush
Workshop
Fri Jul 22 05:50 AM -- 03:15 PM (PDT) @ Room 301 - 303
1st ICML 2022 Workshop on Safe Learning for Autonomous Driving (SL4AD)
Jonathan Francis · Bingqing Chen · Hitesh Arora · Xinshuo Weng · Siddha Ganju · Daniel Omeiza · Jean Oh · Erran Li · Sylvia Herbert · Eric Nyberg · Eric Nyberg
Workshop
Fri Jul 22 05:50 AM -- 02:10 PM (PDT) @ Room 343 - 344 None
New Frontiers in Adversarial Machine Learning
Sijia Liu · Pin-Yu Chen · Dongxiao Zhu · Eric Wong · Kathrin Grosse · Hima Lakkaraju · Sanmi Koyejo
Workshop
Fri Jul 22 05:55 AM -- 03:00 PM (PDT) @ Room 316 - 317 None
Machine Learning for Audio Synthesis
Rachel Manzelli · Brian Kulis · Sadie Allen · Sander Dieleman · Yu Zhang
Workshop
Fri Jul 22 06:00 AM -- 04:15 PM (PDT) @ Ballroom 4 None
Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet
Roland S. Zimmermann · Julian Bitterwolf · Evgenia Rusak · Steffen Schneider · Matthias Bethge · Wieland Brendel · Matthias Hein
Workshop
Fri Jul 22 06:00 AM -- 05:00 PM (PDT) @ Ballroom 1 None
Dynamic Neural Networks
Tomasz Trzcinski · marco levorato · Simone Scardapane · Bradley McDanel · Andrea Banino · Carlos Riquelme Ruiz
Workshop
Fri Jul 22 06:00 AM -- 05:00 PM (PDT) @ Hall G None
Decision Awareness in Reinforcement Learning
Evgenii Nikishin · Pierluca D'Oro · Doina Precup · Andre Barreto · Amir-massoud Farahmand · Pierre-Luc Bacon
Workshop
Fri Jul 22 06:00 AM -- 03:00 PM (PDT) @ Room 327 - 329
Theory and Practice of Differential Privacy
Gautam Kamath · Audra McMillan
Workshop
Fri Jul 22 06:00 AM -- 02:15 PM (PDT) @ Room 307 None
Workshop on Machine Learning in Computational Design
Andrew Spielberg · Caitlin Mueller · Lydia Chilton · Rafael Gomez-Bombarelli · Vladimir Kim · Daniel Ritchie · Wengong Jin
Coffee Break
Fri Jul 22 07:00 AM -- 07:30 AM (PDT) @ Main Terrace, Otterbine, 400 Foyer
Coffee Break
Lunch - on your own
Fri Jul 22 09:00 AM -- 10:30 AM (PDT)
Lunch
Coffee Break
Fri Jul 22 12:00 PM -- 12:30 PM (PDT) @ Main Terrace, Otterbine, 400 Foyer
Coffee Break
Break
Sat Jul 23 03:30 AM -- 03:45 AM (PDT) None
Breakfast on your own
Workshop
Sat Jul 23 05:30 AM -- 02:30 PM (PDT) @ Room 318 - 320
AI for Agent-Based Modelling (AI4ABM)
Christian Schroeder · Yang Zhang · Anisoara Calinescu · Dylan Radovic · Prateek Gupta · Jakob Foerster
Workshop
Sat Jul 23 05:45 AM -- 03:00 PM (PDT) @ Room 314 - 315
Complex feedback in online learning
Rémy Degenne · Pierre Gaillard · Wouter Koolen · Aadirupa Saha
Workshop
Sat Jul 23 05:45 AM -- 02:30 PM (PDT) @ Room 327 - 329
Hardware-aware efficient training (HAET)
Gonçalo Mordido · Yoshua Bengio · Ghouthi BOUKLI HACENE · Vincent Gripon · François Leduc-Primeau · Vahid Partovi Nia · Julie Grollier
Workshop
Sat Jul 23 05:50 AM -- 02:30 PM (PDT) @ Hall F
The First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward
Huaxiu Yao · Hugo Larochelle · Percy Liang · Colin Raffel · Jian Tang · Ying WEI · Saining Xie · Eric Xing · Chelsea Finn
Workshop
Sat Jul 23 05:55 AM -- 02:00 PM (PDT) @ Ballroom 4 None
Workshop on Human-Machine Collaboration and Teaming
Umang Bhatt · Katie Collins · Maria De-Arteaga · Bradley Love · Adrian Weller
Workshop
Sat Jul 23 05:55 AM -- 02:30 PM (PDT) @ Ballroom 2 None
Updatable Machine Learning
Ayush Sekhari · Gautam Kamath · Jayadev Acharya
Workshop
Sat Jul 23 06:00 AM -- 03:00 PM (PDT) @ Room 309
AI for Science
Yuanqi Du · Tianfan Fu · Wenhao Gao · Kexin Huang · Shengchao Liu · Ziming Liu · Hanchen Wang · Connor Coley · Le Song · Linfeng Zhang · Marinka Zitnik
Workshop
Sat Jul 23 06:00 AM -- 02:30 PM (PDT) @ Ballroom 1 None
Responsible Decision Making in Dynamic Environments
Virginie Do · Thorsten Joachims · Alessandro Lazaric · Joelle Pineau · Matteo Pirotta · Harsh Satija · Nicolas Usunier
Workshop
Sat Jul 23 06:00 AM -- 02:00 PM (PDT) @ Room 301 - 303
The ICML Expressive Vocalizations (ExVo) Workshop and Competition 2022
Alice Baird · Panagiotis Tzirakis · Kory Mathewson · Gauthier Gidel · Eilif Muller · Bjoern Schuller · Erik Cambria · Dacher Keltner · Alan Cowen
Workshop
Sat Jul 23 06:00 AM -- 02:40 PM (PDT) @ Ballroom 3
Principles of Distribution Shift (PODS)
Elan Rosenfeld · Saurabh Garg · Shibani Santurkar · Jamie Morgenstern · Hossein Mobahi · Zachary Lipton · Andrej Risteski
Workshop
Sat Jul 23 06:00 AM -- 03:00 PM (PDT) @ Room 307
Disinformation Countermeasures and Machine Learning (DisCoML)
George Cybenko · Ludmilla Huntsman · Steve Huntsman · Paul Vines
Workshop
Sat Jul 23 06:00 AM -- 03:00 PM (PDT) @ Room 321 - 323
Continuous Time Perspectives in Machine Learning
Mihaela Rosca · Chongli Qin · Julien Mairal · Marc Deisenroth
Affinity Workshop
Sat Jul 23 06:15 AM -- 12:00 PM (PDT) @ Room 337 - 338 None
Queer in AI @ ICML 2022 Affinity Workshop
Huan Zhang · Arjun Subramonian · Sharvani Jha · William Agnew · Krunoslav Lehman Pavasovic
Workshop
Sat Jul 23 06:15 AM -- 02:30 PM (PDT) @ Room 316 - 317
2nd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
Ramin Zabih · S. Kevin Zhou · Weina Jin · Yuyin Zhou · Ipek Oguz · Xiaoxiao Li · Yifan Peng · Zongwei Zhou · Yucheng Tang
Workshop
Sat Jul 23 06:20 AM -- 02:45 PM (PDT) @ Room 308
Workshop on Distribution-Free Uncertainty Quantification
Anastasios Angelopoulos · Stephen Bates · Yixuan Li · Ryan Tibshirani · Aaditya Ramdas · Stephen Bates
Coffee Break
Sat Jul 23 07:00 AM -- 07:30 AM (PDT)
Coffee Break
Lunch - on your own
Sat Jul 23 09:00 AM -- 10:30 AM (PDT)
Lunch on your own
Coffee Break
Sat Jul 23 12:00 PM -- 12:30 PM (PDT) @ Main Terr, 400 Foyer, Otterbine
Coffee Break