Skip to yearly menu bar Skip to main content


(1115 events)   Timezone:  
Toggle Poster Visibility
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 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) @ Ballroom 1 & 2
Differentially Private Approximate Quantiles
In Social Aspects
Haim Kaplan · Shachar Schnapp · Uri Stemmer
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 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 07:35 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) @ 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) @ 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 327 - 329
Self-Supervised Representation Learning via Latent Graph Prediction
In Deep Learning
Yaochen Xie · Zhao Xu · Shuiwang Ji
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 07:40 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) @ 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 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) @ 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 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) @ 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 07:45 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) @ 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) @ 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 07:50 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) @ 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) @ 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 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) @ 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) @ 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 07:50 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 310
Structure-preserving GANs
In Deep Learning: Generative Models/Autoencoders
Jeremiah Birrell · Markos Katsoulakis · Luc Rey-Bellet · Wei Zhu
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) @ 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) @ 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) @ 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) @ 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) @ 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 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 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
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) @ 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 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) @ 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 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) @ 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) @ 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 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
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 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 08:05 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
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 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) @ Ballroom 3 & 4
Calibrated Learning to Defer with One-vs-All Classifiers
In Probabilistic Methods/Applications
Rajeev Verma · Eric Nalisnick
Spotlight
Tue Jul 19 08:10 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
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 08:20 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 08:25 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 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 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) @ 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 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) @ 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) @ 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) @ 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) @ 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) @ 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 08:30 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) @ 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 08:35 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) @ 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) @ 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) @ 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) @ 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) @ 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 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 08:35 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 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) @ 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 08:40 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) @ 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) @ 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) @ 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 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) @ 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 08:40 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) @ 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 08:45 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) @ 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) @ 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) @ 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) @ 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) @ 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 08:45 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) @ 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 08:50 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) @ 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 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) @ 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 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 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 08:50 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 08:55 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) @ 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) @ 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 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
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 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 10:30 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 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) @ 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) @ 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 10:35 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) @ 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) @ 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) @ Ballroom 1 & 2
Learning Iterative Reasoning through Energy Minimization
In DL: Algorithms
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Spotlight
Tue Jul 19 10:35 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 10:40 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) @ 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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) @ 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 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) @ 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) @ 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) @ 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) @ 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) @ 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 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) @ 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 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) @ 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) @ 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 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) @ Hall F
Parametric Visual Program Induction with Function Modularization
In APP: Computer Vision
Xuguang Duan · Xin Wang · Ziwei Zhang · Wenwu Zhu
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 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) @ 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 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) @ 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
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 11:05 AM -- 11:10 AM (PDT) @ Hall G
Streaming Algorithms for Support-Aware Histograms
In Theory
Justin Chen · Piotr Indyk · Tal Wagner
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) @ 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 11:10 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) @ Hall G
Power-Law Escape Rate of SGD
In Theory
Takashi Mori · Liu Ziyin · Kangqiao Liu · Masahito Ueda
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 11:20 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 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ 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) @ 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 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) @ 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 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) @ 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 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 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 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 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 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ 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) @ 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 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) @ 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) @ 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
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 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 01:15 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) @ Ballroom 3 & 4
Coordinated Double Machine Learning
In MISC: Causality
Nitai Fingerhut · Matteo Sesia · Yaniv Romano
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) @ 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) @ 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 01:20 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 01:25 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 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) @ 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 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 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) @ 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) @ 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) @ 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 01:30 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) @ 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 01:35 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) @ 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) @ 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) @ 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) @ 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 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 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 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 01:35 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 01:40 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 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) @ Room 310
Being Properly Improper
In Theory
Tyler Sypherd · Richard Nock · Lalitha Sankar
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) @ 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 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
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) @ 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) @ 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 01:45 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) @ 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) @ 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 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
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 01:50 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
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 F
Modular Conformal Calibration
In SA: Trustworthy Machine Learning
Charles Marx · Shengjia Zhao · Willie Neiswanger · Stefano Ermon
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
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 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 309
AdaGrad Avoids Saddle Points
In OPT: Non-Convex
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
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 02:10 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 02:10 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) @ 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 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) @ 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 02:15 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 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 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 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 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ 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 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 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) @ 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) @ 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) @ 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) @ 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 02:25 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) @ 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 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 02:30 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) @ 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) @ 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 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) @ 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 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) @ 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 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 02:35 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) @ 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 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 02:40 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 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 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 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 3 & 4
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
In MISC: Causality
Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken
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
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) @ 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) @ 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) @ 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) @ 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 07:30 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 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 07:35 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 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 07:35 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 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) @ 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 07:40 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 07:40 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) @ 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) @ 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 07:45 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) @ 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) @ 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) @ 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) @ 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 07:45 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) @ 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 07:50 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 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 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 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) @ 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 07:50 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) @ 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) @ 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 07:55 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 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) @ 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) @ 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) @ 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
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) @ 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 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 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 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 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) @ 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) @ 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) @ 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) @ 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
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
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
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 08:20 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 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) @ 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 08:25 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) @ 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) @ 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) @ 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) @ 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 08:30 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) @ 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) @ 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 08:30 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 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) @ 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) @ 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) @ 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 08:35 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) @ 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 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) @ 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) @ 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) @ 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 08:35 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 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) @ 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) @ Room 309
Deep Network Approximation in Terms of Intrinsic Parameters
In DL: Theory
Zuowei Shen · Haizhao Yang · Shijun Zhang
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) @ 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) @ 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) @ 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 08:40 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) @ 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) @ 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) @ 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 307
Zero-Shot Reward Specification via Grounded Natural Language
In Reinforcement Learning: Deep RL
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
Spotlight
Wed Jul 20 08:45 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 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 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 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 08:45 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 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 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 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) @ 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 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 08:50 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) @ 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) @ 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 08:50 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) @ 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 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) @ 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 08:55 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) @ 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) @ 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) @ 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) @ 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
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 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 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 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 10:15 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 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) @ 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) @ 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) @ 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 10:20 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) @ 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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 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) @ 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) @ 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 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) @ 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 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 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 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) @ 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) @ 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 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 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 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 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) @ 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) @ 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 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) @ 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
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) @ 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 310
Adversarial Vulnerability of Randomized Ensembles
In DL: Robustness
Hassan Dbouk · Naresh Shanbhag
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 10:50 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 10:50 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 10:55 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
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 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ 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) @ 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) @ 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 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) @ 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 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) @ 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 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 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) @ 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) @ 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 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) @ 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) @ 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 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) @ 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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 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) @ 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) @ 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) @ 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 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) @ 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 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) @ 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 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) @ Ballroom 3 & 4
Cross-Space Active Learning on Graph Convolutional Networks
In Theory
Yufei Tao · Hao WU · Shiyuan Deng
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 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 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 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 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 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) @ 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) @ 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) @ 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 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 01:30 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 01:35 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) @ 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) @ 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 01:35 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) @ 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) @ 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 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 01:40 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) @ 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) @ 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 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) @ 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) @ 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) @ 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 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) @ 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) @ 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 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) @ 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 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 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) @ 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) @ 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 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) @ 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 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 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) @ 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) @ 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) @ 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) @ 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 01:50 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 01:55 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 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) @ 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 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
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 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) @ 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 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 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 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 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 309
Deep Causal Metric Learning
In Deep Learning/Optimization
Xiang Deng · Zhongfei Zhang
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
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) @ 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) @ 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) @ 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 02:20 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) @ 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 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 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) @ 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 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) @ 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 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) @ 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) @ 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 02:30 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 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) @ 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 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) @ 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) @ 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 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) @ 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) @ 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 02:35 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 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 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) @ 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 02:35 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) @ 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 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 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 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) @ Hall F
Symmetric Machine Theory of Mind
In Applications
Melanie Sclar · Graham Neubig · Yonatan Bisk
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) @ 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 02:40 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 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) @ 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) @ 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 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 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 02:45 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) @ 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) @ 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 02:45 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) @ 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) @ 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) @ 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 02:50 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 02:50 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 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 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) @ 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) @ 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) @ 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 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) @ 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 02:55 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) @ 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 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 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) @ 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) @ 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 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 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
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 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 07:30 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) @ 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 07:35 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 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) @ 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 07:35 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 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) @ 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) @ 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 07:40 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 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 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 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) @ 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) @ 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) @ 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 07:45 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 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 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) @ 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) @ 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) @ 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 07:50 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 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) @ 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) @ 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
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 07:55 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) @ 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) @ 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) @ 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 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) @ 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
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 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) @ 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 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) @ 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
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 08:05 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
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 08:10 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
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 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 08:20 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 08:25 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 08:25 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 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) @ 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 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) @ 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 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 08:30 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) @ 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 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 08:30 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 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 08:35 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) @ 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) @ 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) @ 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 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 08:35 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) @ 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) @ 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) @ 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 327 - 329
Importance Weighted Kernel Bayes' Rule
In MISC/Deep Learning
Liyuan Xu · Yutian Chen · Arnaud Doucet · Arthur Gretton
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) @ 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) @ 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 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) @ 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 08:40 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) @ 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 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 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) @ 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 08:45 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) @ 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 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) @ 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 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) @ 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 327 - 329
Nyström Kernel Mean Embeddings
In MISC/Deep Learning
Antoine Chatalic · Nicolas Schreuder · Lorenzo Rosasco · Alessandro Rudi
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) @ 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 08:50 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) @ 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 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 08:50 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 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 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) @ 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 08:55 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 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
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 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) @ 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 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) @ 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 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 10:35 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) @ 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 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 10:40 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) @ 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) @ 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) @ 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) @ 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 10:45 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) @ 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 10:50 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) @ 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) @ 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 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) @ 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 10:50 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) @ Room 307
Nonlinear Feature Diffusion on Hypergraphs
In MISC/Social Aspects
Konstantin Prokopchik · Austin Benson · Francesco Tudisco
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 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) @ 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) @ 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 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 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
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 F
Linear Complexity Randomized Self-attention Mechanism
In Deep Learning: Attention Mechanisms
Lin Zheng · Chong Wang · Lingpeng Kong
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) @ 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 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) @ 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 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) @ Room 307
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
In MISC/Social Aspects
Haoqi Yuan · Zongqing Lu
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) @ 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 11:05 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) @ 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 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 318 - 320
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
In Optimization/Reinforcement Learning
Valentin Durante · George Katsirelos · Thomas Schiex
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 11:10 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 327 - 329
Direct Behavior Specification via Constrained Reinforcement Learning
In Reinforcement Learning
Julien Roy · Roger Girgis · Joshua Romoff · Pierre-Luc Bacon · Christopher Pal
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 11:20 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) @ 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) @ 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 11:25 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) @ 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) @ Room 307
Fairness with Adaptive Weights
In MISC/Social Aspects
Junyi Chai · Xiaoqian Wang
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) @ Room 307
Understanding Instance-Level Impact of Fairness Constraints
In MISC/Social Aspects
Jialu Wang · Xin Eric Wang · Yang Liu
Spotlight
Thu Jul 21 11:30 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) @ 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) @ 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) @ 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 11:35 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 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) @ 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) @ 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) @ 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 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) @ 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 11:35 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) @ 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 11:40 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) @ 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) @ 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 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 309
SPDY: Accurate Pruning with Speedup Guarantees
In Deep Learning/MISC
Elias Frantar · Dan Alistarh
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) @ 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 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 11:45 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 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 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) @ 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) @ 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 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 11:45 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) @ 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) @ 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 11:50 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) @ 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) @ 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) @ 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) @ 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 11:50 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) @ 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 11:55 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) @ Hall G
Neural Inverse Kinematic
In Applications
Raphael Bensadoun · Shir Gur · Nitsan Blau · Lior Wolf
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) @ 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 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 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 12:30 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) @ 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) @ 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) @ Ballroom 1 & 2
Bregman Neural Networks
In Deep Learning
Jordan Frecon · Gilles Gasso · Massimiliano Pontil · Saverio Salzo
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) @ 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) @ 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) @ 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) @ 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 12:35 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) @ Hall F
Rich Feature Construction for the Optimization-Generalization Dilemma
In Deep Learning
Jianyu Zhang · David Lopez-Paz · Léon Bottou
Spotlight
Thu Jul 21 12:40 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) @ 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) @ 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) @ 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 12:40 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) @ 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) @ 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 12:45 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) @ 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 12:45 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) @ 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) @ 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) @ 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 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) @ 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 12:50 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 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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) @ 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 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) @ 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) @ Ballroom 1 & 2
(Non-)Convergence Results for Predictive Coding Networks
In Deep Learning
Simon Frieder · Thomas Lukasiewicz
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) @ 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) @ 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 310
Communication-efficient Distributed Learning for Large Batch Optimization
In Optimization/Probabilistic Methods
Rui Liu · Barzan Mozafari
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) @ 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) @ 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
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 01:05 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
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
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 01:20 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) @ 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 01:25 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 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) @ 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 01:25 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) @ 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) @ 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 01:30 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) @ 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 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) @ 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 01:30 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) @ 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 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) @ 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) @ 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 01:35 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) @ 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 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) @ 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) @ 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 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 01:35 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) @ 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 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) @ 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 01:40 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) @ 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) @ 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) @ 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) @ Room 310
Scaling Structured Inference with Randomization
In Optimization/Probabilistic Methods
Yao Fu · John Cunningham · Mirella Lapata
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) @ 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) @ 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 01:45 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) @ 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 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 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 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) @ 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) @ Ballroom 3 & 4
Thresholded Lasso Bandit
In T: Online Learning and Bandits
Kaito Ariu · Kenshi Abe · Alexandre Proutiere
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 01:50 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) @ 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) @ 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 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 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) @ 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) @ 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) @ 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 01:50 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 01:55 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) @ Hall F
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
In Deep Learning
Bobby He · Mete Ozay
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