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The 2021 schedule is still incomplete
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AffinityPosterSession
Mon Jul 19 06:00 PM -- 08:00 PM (PDT)
LatinX in AI, Queer in AI, WiML - Joint Poster Session
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
David Alvarez-Melis · Nicolo Fusi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Symbolic Regression that scales
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian Ober · Laurence Aitchison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
Alon Oring · Zohar Yakhini · Yacov Hel-Or
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Sliced Iterative Normalizing Flows
Biwei Dai · Uros Seljak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong · Shibani Santurkar · Aleksander Madry
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep kernel processes
Laurence Aitchison · Adam Yang · Sebastian Ober
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov · Xun Qian · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sparsifying Networks via Subdifferential Inclusion
Sagar Verma · Jean-Christophe Pesquet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Value Alignment Verification
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu · Rob Fergus
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Johan Obando Ceron · Pablo Samuel Castro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim · Bokyung Son · Ildoo Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
Edoardo Cetin · Oya Celiktutan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoding Under Normalization Constraints
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
Yuda Song · Wen Sun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi · Alon Brutzkus · Amir Globerson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Shumao Zhang · Pengchuan Zhang · Thomas Hou
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Imitation by Predicting Observations
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo · Keqiang Yan · Shuiwang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reinforcement Learning with Prototypical Representations
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
KNAS: Green Neural Architecture Search
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
Naman Agarwal · Surbhi Goel · Cyril Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self Normalizing Flows
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay · Dorina Thanou · Xiaowen Dong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Adversarial Transformers
Drew A. Hudson · Larry Zitnick
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Architecture Search without Training
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell M Aladago · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Mengfan Wang · Boyu Lyu · Guoqiang Yu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco R Ruiz · Liping Liu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fast Projection Onto Convex Smooth Constraints
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Outlier-Robust Optimal Transport
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang · Ge Yang · Bradly Stadie
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
Zhang Zihan · Yuan Zhou · Xiangyang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Low-Rank Sinkhorn Factorization
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Efficient Learning of Transferable Rewards
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Riemannian Convex Potential Maps
samuel cohen · Brandon Amos · Yaron Lipman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Marin Vlastelica · Michal Rolinek · Georg Martius
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
Johannes Kirschner · Andreas Krause
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fundamental Tradeoffs in Distributionally Adversarial Training
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park · Dong Wook Shu · Junseok Kwon
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Phasic Policy Gradient
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Strategic Classification Made Practical
Sagi Levanon · Nir Rosenfeld
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Particle Variational Inference via Estimation of Functional Gradients
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
Jonas Fischer · Anna Olah · Jilles Vreeken
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts · Filip Mazowiecki · Guillermo Perez
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai · Ethan Fetaya · eli meirom · Gal Chechik · Haggai Maron
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras · Emiel Hoogeboom · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee · Sebastian Goldt · Andrew Saxe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata · Taiji Suzuki
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
Xin Qian · Diego Klabjan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
Annie Xie · James Harrison · Chelsea Finn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri · Chris Eliasmith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius · Heng Wang · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directional Graph Networks
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributionally Robust Optimization with Markovian Data
Mengmeng Li · Tobias Sutter · Daniel Kuhn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Perceiver: General Perception with Iterative Attention
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Momentum Residual Neural Networks
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interactive Learning from Activity Description
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
Jan-Hendrik Lange · Paul Swoboda
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning and Planning in Complex Action Spaces
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Inverse Constrained Reinforcement Learning
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Optimal Complexity in Decentralized Training
Yucheng Lu · Christopher De Sa
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang · Shuyi Fan · Kun Kuang · wenwu zhu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Winograd Algorithm for AdderNet
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Bounds for Open-Set Learning
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dueling Convex Optimization
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Curves for Analysis of Deep Networks
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
Johannes Klicpera · Marten Lienen · Stephan Günnemann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Intra-Batch Connections for Deep Metric Learning
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Targeted Data Acquisition for Evolving Negotiation Agents
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt · Frederik Kratzert · Daniel Klotz · Christina Halmich · Markus Holzleitner · Grey Nearing · Sepp Hochreiter · Günter Klambauer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task Informed Abstractions
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Aaron Zweig · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
UnICORNN: A recurrent model for learning very long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Adeel Pervez · Efstratios Gavves
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
Wesley Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
Vladimir Kolmogorov · Thomas Pock
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PID Accelerated Value Iteration Algorithm
Amir-massoud Farahmand · Mohammad Ghavamzadeh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Noise and Heavy Tails in Stochastic Optimization
Liam Hodgkinson · Michael Mahoney
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
Aurick Zhou · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Not All Memories are Created Equal: Learning to Forget by Expiring
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
Dennis Wei
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Christopher Dance · Perez Julien · Théo Cachet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Mixture Density Networks
Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Breaking the Limits of Message Passing Graph Neural Networks
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen · Mert Pilanci
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani · Abhinav Gupta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Muesli: Combining Improvements in Policy Optimization
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy · Sheheryar Zaidi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur · Youngsung Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Projection Robust Wasserstein Barycenters
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Vector Quantized Models for Planning
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Thinking Like Transformers
Gail Weiss · Yoav Goldberg · Eran Yahav
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Random Conjugate Kernel and Neural Tangent Kernel
Zhengmian Hu · Heng Huang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grid-Functioned Neural Networks
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical VAEs Know What They Don’t Know
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han · Youngchul Sung
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Akhil Bagaria · Jason Senthil · George Konidaris
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Patrick Kidger · Tian Qi Chen · Terry Lyons
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Preferential Temporal Difference Learning
Nishanth Anand · Doina Precup
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Evolving Attention with Residual Convolutions
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
Alexander Nichol · Prafulla Dhariwal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MSA Transformer
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
How Framelets Enhance Graph Neural Networks
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee · Laura Smith · Pieter Abbeel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
Eric Balkanski · Sharon Qian · Yaron Singer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Moreau-Yosida $f$-divergences
Dávid Terjék
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
Zhao Song · Zheng Yu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Nam · Younghoon Kim · Chan Youn Park
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
Adrien Ecoffet · Joel Lehman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Submodular Maximization at Scale
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
Rutav Shah · Vikash Kumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T Schütt · Oliver Unke · Michael Gastegger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Denis Lukovnikov · Asja Fischer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
Chaoyu Guan · Xin Wang · wenwu zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
Tianhao Zhang · 岳珩 李 · Chen Wang · Guangming Xie · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High Confidence Generalization for Reinforcement Learning
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Ming Min · Ruimeng Hu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Ilan Price · Jared Tanner
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
Ying Jin · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
Yang Li · Junier Oliva
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
Eduardo Laber · Lucas Murtinho
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Jyotikrishna Dass · Rabi Mahapatra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Hyperparameter Selection for Imitation Learning
Léonard Hussenot · Marcin Andrychowicz · Damien Vincent · Robert Dadashi · Anton Raichuk · Sabela Ramos · Nikola Momchev · Sertan Girgin · Raphael Marinier · Lukasz Stafiniak · Emmanuel Orsini · Olivier Bachem · Matthieu Geist · Olivier Pietquin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Burak Bartan · Mert Pilanci
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taskesen · Man Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram · John Thickstun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Explore Visual Concept Formation for Image Classification
Shengzhou Xiong · Yihua Tan · Guoyou Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
Graziano Mita · Maurizio Filippone · Pietro Michiardi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Biloš · Stephan Günnemann
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generating images with sparse representations
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Domain-Agnostic Contrastive Learning
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang · Wu-Jun Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Network Inference and Influence Maximization from Samples
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Yiming Zhang · Keith Ross
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Elad Sarafian · Shai Keynan · Sarit Kraus
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto · David Meger · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning Neural Network Subspaces
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Fabien Collas · Ekhine IRUROZKI
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Representation Matters: Offline Pretraining for Sequential Decision Making
Mengjiao Yang · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Foivos Alimisis · Peter Davies · Dan Alistarh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
Sanae Amani · Christos Thrampoulidis · Lin Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Zixin Zhong · Wang Chi Cheung · Vincent Tan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily Zhang · Mark Goldstein · Rajesh Ranganath
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
Jiechuan Jiang · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Zero-Shot Text-to-Image Generation
Aditya Ramesh · Mikhail Pavlov · Gabriel Goh · Scott Gray · Chelsea Voss · Alec Radford · Mark Chen · Ilya Sutskever
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stochastic Iterative Graph Matching
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
George Dasoulas · Kevin Scaman · Aladin Virmaux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
Aryan Deshwal · Syrine Belakaria · Jana Doppa
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
TaeHo Yoon · Ernest Ryu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi · Max Welling · Andrew Wilson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
What Makes for End-to-End Object Detection?
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
Guanhua Fang · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
Alp Yurtsever · Varun Mangalick · Suvrit Sra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Akira Nakagawa · Keizo Kato · Taiji Suzuki
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng · Stephen Gould · Liang Zheng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan · Abhishek Naik · Richard Sutton
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SMG: A Shuffling Gradient-Based Method with Momentum
Trang Tran · Lam Nguyen · Quoc Tran-Dinh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Selecting Data Augmentation for Simulating Interventions
Maximilian Ilse · Jakub Tomczak · Patrick Forré
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen · Yuanzhi Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Parametric Graph for Unimodal Ranking Bandit
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont · Boammani Aser Lompo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Faster Kernel Matrix Algebra via Density Estimation
Arturs Backurs · Piotr Indyk · Cameron Musco · Tal Wagner
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Taiki Miyagawa · Akinori Ebihara
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Ensemble Bootstrapping for Q-Learning
Oren Peer · Chen Tessler · Nadav Merlis · Ron Meir
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
Austin W. Hanjie · Victor Zhong · Karthik Narasimhan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Junhyung Park · Uri Shalit · Bernhard Schölkopf · Krikamol Muandet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman · Tamir Hazan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Yaqi Duan · Chi Jin · Zhiyuan Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Batch Value-function Approximation with Only Realizability
Tengyang Xie · Nan Jiang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Muhammad Arrasy Rahman · Niklas Hopner · Filippos Christianos · Stefano V. Albrecht
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li · Yuantao Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Kishan Panaganti · Dileep Kalathil
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Instance-Optimal Compressed Sensing via Posterior Sampling
Ajil Jalal · Sushrut Karmalkar · Alexandros Dimakis · Eric Price
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Dustin Morrill · Ryan D'Orazio · Marc Lanctot · James Wright · Michael Bowling · Amy Greenwald
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Regret Minimization Approach to Iterative Learning Control
Naman Agarwal · Elad Hazan · Anirudha Majumdar · Karan Singh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Approximating a Distribution Using Weight Queries
Nadav Barak · Sivan Sabato
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Xinlei Yi · Xiuxian Li · Tao Yang · Lihua Xie · Tianyou Chai · Karl Johansson
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
Durga S · Rishabh Iyer · Ganesh Ramakrishnan · Abir De
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Uncertainty Principles of Encoding GANs
Ruili Feng · Zhouchen Lin · jiapeng zhu · Deli Zhao · Jingren Zhou · Zheng-Jun Zha
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel Continual Learning
Mohammad Mahdi Derakhshani · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Measuring Robustness in Deep Learning Based Compressive Sensing
Mohammad Zalbagi Darestani · Akshay Chaudhari · Reinhard Heckel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
Chloé Rouyer · Yevgeny Seldin · Nicolò Cesa-Bianchi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
Chunjiang Zhu · Qinqing Liu · Jinbo Bi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Relative Deviation Margin Bounds
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Quynh Nguyen · Marco Mondelli · Guido Montufar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Incentivizing Compliance with Algorithmic Instruments
Dung Ngo · Logan Stapleton · Vasilis Syrgkanis · Steven Wu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan · Max Welling
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multi-group Agnostic PAC Learnability
Guy Rothblum · Gal Yona
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
Wenkai Xu · Takeru Matsuda
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
Romain COUILLET · Florent Chatelain · Nicolas Le Bihan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei · Akilesh Badrinaaraayanan · Aaron Courville · Sarath Chandar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras · Joseph Dean · Ajil Jalal · Alexandros Dimakis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Darius Afchar · Vincent Guigue · Romain Hennequin
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning to Price Against a Moving Target
Renato Leme · Balasubramanian Sivan · Yifeng Teng · Pratik Worah
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
MARINA: Faster Non-Convex Distributed Learning with Compression
Eduard Gorbunov · Konstantin Burlachenko · Zhize Li · Peter Richtarik
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exponentially Many Local Minima in Quantum Neural Networks
Xuchen You · Xiaodi Wu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun Kuchibhotla · Qinqing Zheng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu · Abhishek Bhandwaldar · Chuang Gan · Kevin Smith · Shari Liu · Dan Gutfreund · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
An exact solver for the Weston-Watkins SVM subproblem
Yutong Wang · Clay Scott
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Hung Tran-The · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Kan Xu · Xuanyi Zhao · Hamsa Bastani · Osbert Bastani
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dynamic Game Theoretic Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai · Lingxiao Wang · Lei Han · Jianye Hao · Animesh Garg · Peng Liu · Zhaoran Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos · Georgios Papoudakis · Muhammad Arrasy Rahman · Stefano V. Albrecht
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Avrim Blum · Nika Haghtalab · Richard Lanas Phillips · Han Shao
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
Shuang Qiu · Jieping Ye · Zhaoran Wang · Zhuoran Yang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Uthsav Chitra · Kimberly Ding · Jasper C.H. Lee · Benjamin Raphael
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near Optimal Reward-Free Reinforcement Learning
Zhang Zihan · Simon Du · Xiangyang Ji
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
Sushant Agarwal · Shahin Jabbari · Chirag Agarwal · Sohini Upadhyay · Steven Wu · Hima Lakkaraju
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
Vincent Divol · Theo Lacombe
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Prior Image-Constrained Reconstruction using Style-Based Generative Models
Varun A. Kelkar · Mark Anastasio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos Ruiz · Paul Grigas · Zheng Wen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Alek Dimitriev · Mingyuan Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Instabilities of Offline RL with Pre-Trained Neural Representation
Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Logical Options Framework
Brandon Araki · Xiao Li · Kiran Vodrahalli · Jonathan DeCastro · Micah Fry · Daniela Rus
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon Du · Sham Kakade · Jason Lee · Shachar Lovett · Gaurav Mahajan · Wen Sun · Ruosong Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du · Xue Yan · Xu Chen · Jun Wang · Haifeng Zhang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
Gabriele Libardi · Gianni De Fabritiis · Sebastian Dittert
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Zahra Babaiee · Ramin Hasani · Mathias Lechner · Daniela Rus · Radu Grosu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring serial correlation with dynamic backgrounds
Song Wei · Yao Xie · Dobromir Rahnev
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh Nguyen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Timothy Kim · Thomas Luo · Jonathan Pillow · Carlos Brody
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revealing the Structure of Deep Neural Networks via Convex Duality
Tolga Ergen · Mert Pilanci
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
Kwang-Sung Jun · Lalit Jain · Blake Mason · Houssam Nassif
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
jiali wang · He Chen · Rujun Jiang · Xudong Li · Zihao Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Kernel Stein Discrepancy Descent
Anna Korba · Pierre-Cyril Aubin-Frankowski · Szymon Majewski · Pierre Ablin
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Off-Belief Learning
Hengyuan Hu · Adam Lerer · Brandon Cui · Luis Pineda · Noam Brown · Jakob Foerster
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Angeliki Kamoutsi · Goran Banjac · John Lygeros
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How could Neural Networks understand Programs?
Dinglan Peng · Shuxin Zheng · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu · Youngsuk Park · Lifan Chen · Yuyang Wang · Christopher De Sa · Dean Foster
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Zhibin Duan · Dongsheng Wang · Bo Chen · CHAOJIE WANG · Wenchao Chen · yewen li · Jie Ren · Mingyuan Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
Maria Refinetti · Sebastian Goldt · FLORENT KRZAKALA · Lenka Zdeborova
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
High-dimensional Experimental Design and Kernel Bandits
Romain Camilleri · Kevin Jamieson · Julian Katz-Samuels
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalised Lipschitz Regularisation Equals Distributional Robustness
Zac Cranko · Zhan Shi · Xinhua Zhang · Richard Nock · Simon Kornblith
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TempoRL: Learning When to Act
André Biedenkapp · Raghu Rajan · Frank Hutter · Marius Lindauer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Feature Acquisition with Generative Surrogate Models
Yang Li · Junier Oliva
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A statistical perspective on distillation
Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Nested Data with Ornstein Auto-Encoders
Youngwon Choi · Sungdong Lee · Joong-Ho (Johann) Won
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fairness and Bias in Online Selection
Jose Correa · Andres Cristi · Paul Duetting · Ashkan Norouzi-Fard
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Tal Lancewicki · Shahar Segal · Tomer Koren · Yishay Mansour
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Aditi Jha · Michael J. Morais · Jonathan Pillow
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Best Model Identification: A Rested Bandit Formulation
Leonardo Cella · Massimiliano Pontil · Claudio Gentile
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim · Seohong Park · Gunhee Kim
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Post-selection inference with HSIC-Lasso
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Ying Fan · Yifei Ming
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Ayush Jain · Alon Orlitsky
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Nonparametric Hamiltonian Monte Carlo
Carol Mak · Fabian Zaiser · Luke Ong
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
Fan Zhou · Ping Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning in Nonzero-Sum Stochastic Games with Potentials
David Mguni · Yutong Wu · Yali Du · Yaodong Yang · Ziyi Wang · Minne Li · Ying Wen · Joel Jennings · Jun Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Afsaneh Mastouri · Yuchen Zhu · Limor Gultchin · Anna Korba · Ricardo Silva · Matt J. Kusner · Arthur Gretton · Krikamol Muandet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Representational aspects of depth and conditioning in normalizing flows
Frederic Koehler · Viraj Mehta · Andrej Risteski
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Biased Data: A Semi-Parametric Approach
Patrice Bertail · Stephan Clémençon · Yannick Guyonvarch · Nathan NOIRY
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Characterizing the Gap Between Actor-Critic and Policy Gradient
Junfeng Wen · Saurabh Kumar · Ramki Gummadi · Dale Schuurmans
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Path Planning using Neural A* Search
Ryo Yonetani · Tatsunori Taniai · Mohammadamin Barekatain · Mai Nishimura · Asako Kanezaki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
Valerii Likhosherstov · Xingyou Song · Krzysztof Choromanski · Jared Quincy Davis · Adrian Weller
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online A-Optimal Design and Active Linear Regression
Xavier Fontaine · Pierre Perrault · Michal Valko · Vianney Perchet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
State Relevance for Off-Policy Evaluation
Simon Shen · Yecheng Ma · Omer Gottesman · Finale Doshi-Velez
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Collaborative Bayesian Optimization with Fair Regret
Rachael Hwee Ling Sim · Yehong Zhang · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
Nadav Hallak · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
Jun-Kun Wang · Chi-Heng Lin · Jacob Abernethy
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao YANG · Ru-Yuan Zhang · Lida LI · Xiaohua Xie
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tractable structured natural-gradient descent using local parameterizations
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Paced Context Evaluation for Contextual Reinforcement Learning
Theresa Eimer · André Biedenkapp · Frank Hutter · Marius Lindauer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning from History for Byzantine Robust Optimization
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi · Ilija Bogunovic · Andreas Krause
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Continuous Networks
Nergis Tomen · Silvia-Laura Pintea · Jan van Gemert
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
APS: Active Pretraining with Successor Features
Hao Liu · Pieter Abbeel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich · Alberto Bietti · Eric Vanden-Eijnden · Joan Bruna
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac · Rémy Portelas · Katja Hofmann · Pierre-Yves Oudeyer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang · Yilin Zheng · Jean Honorio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Xiang Wang · Shuai Yuan · Chenwei Wu · Rong Ge
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Pierre Laforgue · Guillaume Staerman · Stephan Clémençon
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zi Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
Shuang Qiu · Xiaohan Wei · Jieping Ye · Zhaoran Wang · Zhuoran Yang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru · Jean Honorio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
Henry Charlesworth · Giovanni Montana
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
Shunta Akiyama · Taiji Suzuki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
Gen Li · Changxiao Cai · Yuxin Chen · Yuantao Gu · Yuting Wei · Yuejie Chi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Align, then memorise: the dynamics of learning with feedback alignment
Maria Refinetti · Stéphane d'Ascoli · Ruben Ohana · Sebastian Goldt
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimizing persistent homology based functions
Mathieu Carrière · Frederic Chazal · Marc Glisse · Yuichi Ike · Hariprasad Kannan · Yuhei Umeda
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
Chris Cummins · Zacharias Fisches · Tal Ben-Nun · Torsten Hoefler · Michael O'Boyle · Hugh Leather
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Reserve Price Optimization for First Price Auctions in Display Advertising
Zhe Feng · Sébastien Lahaie · Jon Schneider · Jinchao Ye
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
What does LIME really see in images?
Damien Garreau · Dina Mardaoui
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
PAC-Learning for Strategic Classification
Ravi Sundaram · Anil Vullikanti · Haifeng Xu · Fan Yao
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M Schmidt · Frank Schneider · Philipp Hennig
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret
Asaf Cassel · Tomer Koren
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
No-regret Algorithms for Capturing Events in Poisson Point Processes
Mojmir Mutny · Andreas Krause
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
Ying WEI · Peilin Zhao · Junzhou Huang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
Difan Zou · Spencer Frei · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Functional Space Analysis of Local GAN Convergence
Valentin Khrulkov · Artem Babenko · Ivan Oseledets
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Nullspace Property for Subspace-Preserving Recovery
Mustafa D Kaba · Chong You · Daniel Robinson · Enrique Mallada · Rene Vidal
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
Yang Liu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Omar Darwiche Domingues · Pierre Menard · Matteo Pirotta · Emilie Kaufmann · Michal Valko
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Active Deep Probabilistic Subsampling
Hans van Gorp · Iris Huijben · Bastiaan Veeling · Nicola Pezzotti · Ruud J. G. van Sloun
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Deciding What to Learn: A Rate-Distortion Approach
Dilip Arumugam · Benjamin Van Roy
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Lipschitz Constant of Self-Attention
Hyunjik Kim · George Papamakarios · Andriy Mnih
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
Francois Buet-Golfouse
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ChaCha for Online AutoML
Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
XOR-CD: Linearly Convergent Constrained Structure Generation
Fan Ding · Jianzhu Ma · Jinbo Xu · Yexiang Xue
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
sajad khodadadian · Zaiwei Chen · Siva Maguluri
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Value Iteration in Continuous Actions, States and Time
Michael Lutter · Shie Mannor · Jan Peters · Dieter Fox · Animesh Garg
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Approximate Group Fairness for Clustering
Bo Li · Lijun Li · Ankang Sun · Chenhao Wang · Yingfan Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Large-Scale Multi-Agent Deep FBSDEs
Tianrong Chen · Ziyi Wang · Ioannis Exarchos · Evangelos Theodorou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
Jeroen Berrevoets · Ahmed Alaa · Zhaozhi Qian · James Jordon · alexander gimson · Mihaela van der Schaar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo · Lexing Ying · James Zou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Jimmy (Tsung-Yen) Yang · Justinian Rosca · Karthik Narasimhan · Peter Ramadge
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Homomorphic Sensing: Sparsity and Noise
Liangzu Peng · Boshi Wang · Manolis Tsakiris
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
David Bruns-Smith
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Dichotomous Optimistic Search to Quantify Human Perception
Julien Audiffren
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
Yanjun Han · Yining Wang · Xi Chen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
Jakub Bielawski · Thiparat Chotibut · Fryderyk Falniowski · Grzegorz Kosiorowski · Michał Misiurewicz · Georgios Piliouras
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Avik Pal · Yingbo Ma · Viral Shah · Christopher Rackauckas
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Composing Normalizing Flows for Inverse Problems
Jay Whang · Erik Lindgren · Alexandros Dimakis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Zitong Yang · Yu Bai · Song Mei
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Cross-domain Imitation from Observations
Dripta S. Raychaudhuri · Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Option-Aware Hierarchical Imitation Learning
Mingxuan Jing · Wenbing Huang · Fuchun Sun · Xiaojian Ma · Tao Kong · Chuang Gan · Lei Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Continuous-time Model-based Reinforcement Learning
Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
Yun Kuen Cheung · Georgios Piliouras
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multiplying Matrices Without Multiplying
Davis Blalock · John Guttag
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
Chirag Gupta · Aaditya Ramdas
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distributed Nystr\"{o}m Kernel Learning with Communications
Rong Yin · Weiping Wang · Dan Meng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez-Nieves · Yaodong Yang · Oliver Slumbers · David Mguni · Ying Wen · Jun Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reward Identification in Inverse Reinforcement Learning
Kuno Kim · Shivam Garg · Kirankumar Shiragur · Stefano Ermon
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Elastic Graph Neural Networks
Xiaorui Liu · Wei Jin · Yao Ma · Yaxin Li · Hua Liu · Yiqi Wang · Ming Yan · Jiliang Tang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Stochastic Behaviour from Aggregate Data
Shaojun Ma · Shu Liu · Hongyuan Zha · Haomin Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Weichen Wang · Jiequn Han · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
How Do Adam and Training Strategies Help BNNs Optimization
Zechun Liu · Zhiqiang Shen · Shichao Li · Koen Helwegen · Dong Huang · Kwang-Ting Cheng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji · Junjie Yang · Yingbin LIANG
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
Renyi Chen · Molei Tao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Confidence-Budget Matching for Sequential Budgeted Learning
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul · Calvin Seward · Ingmar Schuster · Roland Vollgraf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
Brijen Thananjeyan · Kirthevasan Kandasamy · Ion Stoica · Michael Jordan · Ken Goldberg · Joseph E Gonzalez
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Kyoungseok Jang · Kwang-Sung Jun · Se-Young Yun · Wanmo Kang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
Bohan Wang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
Greg Yang · Etai Littwin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Policy Analysis using Synthetic Controls in Continuous-Time
Alexis Bellot · Mihaela van der Schaar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A large-scale benchmark for few-shot program induction and synthesis
Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre MENARD · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Theory of Label Propagation for Subpopulation Shift
Tianle Cai · Ruiqi Gao · Jason Lee · Qi Lei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dissecting Supervised Constrastive Learning
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
yue cao · Payel Das · Vijil Chenthamarakshan · Pin-Yu Chen · Igor Melnyk · Yang Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
Gabriel Mel · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Deep Latent Graph Matching
Tianshu Yu · Runzhong Wang · Junchi Yan · baoxin Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Scaling Properties of Deep Residual Networks
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Jie Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren · Mingjie Li · Zexu Liu · Quanshi Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen · Ignacio Segovia Dominguez · Yulia R Gel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Online Allocation Problems: Fairness and Beyond
Santiago Balseiro · Haihao Lu · Vahab Mirrokni
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
L. Elisa Celis · Lingxiao Huang · Vijay Keswani · Nisheeth K. Vishnoi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Yang Song · Chenlin Meng · Renjie Liao · Stefano Ermon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Training Recurrent Neural Networks via Forward Propagation Through Time
Anil Kag · Venkatesh Saligrama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu · Mengying Sun · Ding Wang · Pang-Ning Tan · Jiayu Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Andrea Zanette
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang · Qi Lei · Alexandros Dimakis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
Xutong Liu · Jinhang Zuo · Xiaowei Chen · Wei Chen · John C. S. Lui
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Iterative Example Weighting
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Pure Exploration and Regret Minimization in Matching Bandits
Flore Sentenac · Jialin Yi · Clément Calauzènes · Vianney Perchet · Milan Vojnovic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantile Bandits for Best Arms Identification
Mengyan Zhang · Cheng Soon Ong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
Soumya Basu · Karthik Abinav Sankararaman · Abishek Sankararaman
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
Kangqiao Liu · Liu Ziyin · Masahito Ueda
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
ACE: Explaining cluster from an adversarial perspective
Yang Lu · Timothy C Yu · Giancarlo Bonora · William Stafford Noble
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adversarial Dueling Bandits
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
DORO: Distributional and Outlier Robust Optimization
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Segmenting Hybrid Trajectories using Latent ODEs
Ruian Shi · Quaid Morris
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Hancheng Min · Salma Tarmoun · Rene Vidal · Enrique Mallada
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Alternative Microfoundations for Strategic Classification
Meena Jagadeesan · Celestine Mendler-Dünner · Moritz Hardt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
Peizhong Ju · Xiaojun Lin · Ness Shroff
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning Using Advantage-Based Intervention
Nolan Wagener · Byron Boots · Ching-An Cheng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Correct Optimization and Exploration with Non-linear Policies
Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multidimensional Scaling: Approximation and Complexity
Erik Demaine · Adam C Hesterberg · Frederic Koehler · Jayson Lynch · John C Urschel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Jastrzebski · Devansh Arpit · Oliver Astrand · Giancarlo Kerg · Huan Wang · Caiming Xiong · Richard Socher · Kyunghyun Cho · Krzysztof J Geras
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel · Purva Pruthi · David Jensen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
Ali Akbari · Muhammad Awais · Manijeh Bashar · Josef Kittler
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou · Jiafan He · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger · James Foster · Xuechen Li · Terry Lyons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Variational Inference in Biclustering Models
Guanhua Fang · Ping Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Cumulants of Hawkes Processes are Robust to Observation Noise
William Trouleau · Jalal Etesami · Matthias Grossglauser · Negar Kiyavash · Patrick Thiran
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Performance Scaling with Multiple Data Sources
Tatsunori Hashimoto
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong · Peng Sun · Wenhan Luo · Tingyun Yan · Yizhou Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu · Yingbin LIANG · Guanghui Lan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
Syama Sundar Yadav Rangapuram · Lucien Werner · Konstantinos Benidis · Pedro Mercado · Jan Gasthaus · Tim Januschowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Versatile Verification of Tree Ensembles
Laurens Devos · Wannes Meert · Jesse Davis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
Hongyu Ren · Hanjun Dai · Bo Dai · Xinyun Chen · Michihiro Yasunaga · Haitian Sun · Dale Schuurmans · Jure Leskovec · Denny Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal · Liheng Ma · Yingxue Zhang · Mark Coates
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Incentivized Bandit Learning with Self-Reinforcing User Preferences
Tianchen Zhou · Jia Liu · Chaosheng Dong · jingyuan deng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding self-supervised learning dynamics without contrastive pairs
Yuandong Tian · Xinlei Chen · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Non-uniformity in First-order Non-convex Optimization
Jincheng Mei · Yue Gao · Bo Dai · Csaba Szepesvari · Dale Schuurmans
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
Liyu Chen · Haipeng Luo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
Pierre Alquier
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee · Zhenghang Cui · Yivan Zhang · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Interaction-Grounded Learning
Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-Dimensional Classification via Sparse Label Encoding
BINBIN JIA · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen · Karan Goel · Nimit Sohoni · Fait Poms · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Detection of Signal in the Spiked Rectangular Models
Ji Hyung Jung · Hye Won Chung · Ji Oon Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
Yujia Jin · Aaron Sidford
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An Information-Geometric Distance on the Space of Tasks
Yansong Gao · Pratik Chaudhari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
Jonathan Lacotte · Yifei Wang · Mert Pilanci
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
Hao Liu · Minshuo Chen · Tuo Zhao · Wenjing Liao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Analysis of stochastic Lanczos quadrature for spectrum approximation
Tyler Chen · Thomas Trogdon · Shashanka Ubaru
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dropout: Explicit Forms and Capacity Control
Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Impact of Record Linkage on Learning from Feature Partitioned Data
Richard Nock · Stephen J Hardy · Wilko Henecka · Hamish Ivey-Law · Jakub Nabaglo · Giorgio Patrini · Guillaume Smith · Brian Thorne
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Junwen Yao · Jonas Mueller · Jane-Ling Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cyclically Equivariant Neural Decoders for Cyclic Codes
Xiangyu Chen · Min Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding Relevant Information via a Discrete Fourier Expansion
Mohsen Heidari · Jithin Sreedharan · Gil Shamir · Wojciech Szpankowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann · Yash Sharma · Steffen Schneider · Matthias Bethge · Wieland Brendel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty · Durga S · Ganesh Ramakrishnan · Abir De · Rishabh Iyer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
Jiaqian Yu · Jingtao Xu · Yiwei Chen · Weiming Li · Qiang Wang · ByungIn Yoo · Jae-Joon Han
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia · Asuman Ozdaglar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
Ashraf Tahmasbi · Ellango Jothimurugesan · Srikanta Tirthapura · Phillip Gibbons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
MOTS: Minimax Optimal Thompson Sampling
Tianyuan Jin · Pan Xu · Jieming Shi · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotics of Ridge Regression in Convolutional Models
Mojtaba Sahraee-Ardakan · Tung Mai · Anup Rao · Ryan A. Rossi · Sundeep Rangan · Alyson Fletcher
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Novel Method to Solve Neural Knapsack Problems
Duanshun Li · Jing Liu · Dongeun Lee · Ali S. Mazloom · Giridhar Kaushik · Kookjin Lee · Noseong Park
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Conformal prediction interval for dynamic time-series
Chen Xu · Yao Xie
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
HyperHyperNetwork for the Design of Antenna Arrays
Shahar Lutati · Lior Wolf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
Greg Yang · Edward Hu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai · Minshuo Chen · Pan Zhou · Tuo Zhao · Jason Lee · Sham Kakade · Huan Wang · Caiming Xiong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna · Bimal Bhattarai · Morten Goodwin · Saeed Rahimi Gorji · Ole-Christoffer Granmo · Lei Jiao · Rupsa Saha · Rohan Kumar Yadav
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
Ilai Bistritz · Nicholas Bambos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan · Fei Wen · rendong Ying · Chao Ma · Peilin Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Trees with Attention for Set Prediction Tasks
Roy Hirsch · Ran Gilad-Bachrach
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Complexity of Robust Linear Classification on Separated Data
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
Tianyuan Jin · Jing Tang · Pan Xu · Keke Huang · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang · Yiding Chen · Jerry Zhu · Wen Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Best Arm Identification in Graphical Bilinear Bandits
Geovani Rizk · Albert Thomas · Igor Colin · Rida Laraki · Yann Chevaleyre
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang · Kartik Ahuja · Yilun Xu · Yisen Wang · Aaron Courville
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved OOD Generalization via Adversarial Training and Pretraing
Mingyang Yi · Lu Hou · Jiacheng Sun · Lifeng Shang · Xin Jiang · Qun Liu · Zhiming Ma
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Balancing for Model Selection in Bandits and RL
Ashok Cutkosky · Christoph Dann · Abhimanyu Das · Claudio Gentile · Aldo Pacchiano · Manish Purohit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang · Zhong Li · Qianxiao Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Breaking the Deadly Triad with a Target Network
Shangtong Zhang · Hengshuai Yao · Shimon Whiteson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis
Baihe Huang · Xiaoxiao Li · Zhao Song · Xin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
12-Lead ECG Reconstruction via Koopman Operators
Tomer Golany · Kira Radinsky · Daniel Freedman · Saar Minha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding Noise Injection in GANs
Ruili Feng · Deli Zhao · Zheng-Jun Zha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng · Hangfeng He · Weijie Su
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
AdaXpert: Adapting Neural Architecture for Growing Data
Shuaicheng Niu · Jiaxiang Wu · Guanghui Xu · Yifan Zhang · Yong Guo · Peilin Zhao · Peng Wang · Mingkui Tan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
Lewis Liu · Yufeng Zhang · Zhuoran Yang · Reza Babanezhad · Zhaoran Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fast active learning for pure exploration in reinforcement learning
Pierre MENARD · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
Max Biggs · Wei Sun · Markus Ettl
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
Yuhan Liu · Shiliang Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
Sangwoo Hong · Heecheol Yang · Youngseok Yoon · Tae Hyun Cho · Jungwoo Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Task-Optimal Exploration in Linear Dynamical Systems
Andrew Wagenmaker · Max Simchowitz · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni · Chi Jin · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Inherent Regularization Effects of Noise Injection During Training
Oussama Dhifallah · Yue Lu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
Esther Rolf · Theodora Worledge · Benjamin Recht · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller · Juan Perdomo · Tijana Zrnic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu · Jong Ho Park · Theo Rekatsinas · Christos Tzamos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Tao Lin · Sai Praneeth Reddy Karimireddy · Sebastian Stich · Martin Jaggi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Shiwei Liu · Lu Yin · Decebal Constantin Mocanu · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
Rajat Sen · Alexander Rakhlin · Lexing Ying · Rahul Kidambi · Dean Foster · Daniel Hill · Inderjit Dhillon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Making Paper Reviewing Robust to Bid Manipulation Attacks
Ruihan Wu · Chuan Guo · Felix Wu · Rahul Kidambi · Laurens van der Maaten · Kilian Weinberger
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Implicit rate-constrained optimization of non-decomposable objectives
Abhishek Kumar · Harikrishna Narasimhan · Andrew Cotter
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
Dhruv Malik · Aldo Pacchiano · Vishwak Srinivasan · Yuanzhi Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
Lokesh Chandra Das · Myounggyu Won
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
An Integer Linear Programming Framework for Mining Constraints from Data
Tao Meng · Kai-Wei Chang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Probabilistic Programs with Stochastic Conditioning
David Tolpin · Yuan Zhou · Tom Rainforth · Hongseok Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Coherent Exploration for Continuous Control
Yijie Zhang · Herke van Hoof
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M Yoshida · Takashi Takenouchi · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Changhun Jo · Kangwook Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei · Zhenhuan Yang · Tianbao Yang · Yiming Ying
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
Alexander D Camuto · Xiaoyu Wang · Lingjiong Zhu · Christopher Holmes · Mert Gurbuzbalaban · Umut Simsekli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Combinatorial Blocking Bandits with Stochastic Delays
Alexia Atsidakou · Orestis Papadigenopoulos · Soumya Basu · Constantine Caramanis · Sanjay Shakkottai
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consistent regression when oblivious outliers overwhelm
Tommaso d'Orsi · Gleb Novikov · David Steurer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
Xiaocheng Li · Chunlin Sun · Yinyu Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Adapting to misspecification in contextual bandits with offline regression oracles
Sanath Kumar Krishnamurthy · Vitor Hadad · Susan Athey
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Online Unrelated Machine Load Balancing with Predictions Revisited
Shi Li · Jiayi Xian
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Distribution-dependent Analysis of Meta Learning
Mikhail Konobeev · Ilja Kuzborskij · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
Weichao Mao · Kaiqing Zhang · Ruihao Zhu · David Simchi-Levi · Tamer Basar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Planning and Learning under Recovering Rewards
David Simchi-Levi · Zeyu Zheng · Feng Zhu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sparsity-Agnostic Lasso Bandit
Min-hwan Oh · Garud Iyengar · Assaf Zeevi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao · Yaqi Duan · Tor Lattimore · Csaba Szepesvari · Mengdi Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No · TaeHo Yoon · Sehyun Kwon · Ernest Ryu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Diffusion Source Identification on Networks with Statistical Confidence
Quinlan Dawkins · Tianxi Li · Haifeng Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Unsupervised Learning via L-statistic Minimization
Andreas Maurer · Daniela Angela Parletta · Andrea Paudice · Massimiliano Pontil
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Precise Performance Analysis of Support Vector Regression
Houssem Sifaou · Abla Kammoun · Mohamed-Slim Alouini
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga · Percy Liang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Linear Regression under Distribution Shift
Qi Lei · Wei Hu · Jason Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
Salma Tarmoun · Guilherme Franca · Benjamin Haeffele · Rene Vidal
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu · Yiwen Song · Yang Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Off-Policy Evaluation from Multiple Logging Policies
Nathan Kallus · Yuta Saito · Masatoshi Uehara
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong · David Dohan · Rishabh Singh · Charles Sutton · Manzil Zaheer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discriminative Complementary-Label Learning with Weighted Loss
Yi Gao · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning in Unknown Markov Games
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Approximation Theory Based Methods for RKHS Bandits
Sho Takemori · Masahiro Sato
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Label Distribution Learning Machine
Jing Wang · Xin Geng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consensus Control for Decentralized Deep Learning
Lingjing Kong · Tao Lin · Anastasiia Koloskova · Martin Jaggi · Sebastian Stich
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Kazuya Sugiyama · Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Optimal Streaming Algorithms for Multi-Armed Bandits
Tianyuan Jin · Keke Huang · Jing Tang · Xiaokui Xiao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Compressed Maximum Likelihood
Yi Hao · Alon Orlitsky
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Event Outlier Detection in Continuous Time
Siqi Liu · Milos Hauskrecht
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multi-Receiver Online Bayesian Persuasion
Matteo Castiglioni · Alberto Marchesi · Andrea Celli · Nicola Gatti
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Pure Exploration in Linear Bandits with Limited Budget
Ayya Alieva · Ashok Cutkosky · Abhimanyu Das
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Differentiable Point Process with Its Application to Spiking Neural Networks
Hiroshi Kajino
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Asymmetric Loss Functions for Learning with Noisy Labels
Xiong Zhou · Xianming Liu · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
Zeng Li · Chuanlong Xie · Qinwen Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Selfish Sparse RNN Training
Shiwei Liu · Decebal Constantin Mocanu · Yulong Pei · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Heterogeneous Risk Minimization
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Optimal Auctions with Correlated Valuations from Samples
CHUNXUE YANG · Xiaohui Bei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Xinyun Chen · Petros Maniatis · Rishabh Singh · Charles Sutton · Hanjun Dai · Max Lin · Denny Zhou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the difficulty of unbiased alpha divergence minimization
Tomas Geffner · Justin Domke
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Wentao Cui · Yuhong Guo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SGLB: Stochastic Gradient Langevin Boosting
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Testing and Estimation under Manipulation Attacks
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Attention Belief Networks
Shujian Zhang · Xinjie Fan · Bo Chen · Mingyuan Zhou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Mihaela Curmei · Sarah Dean · Benjamin Recht
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
GeomCA: Geometric Evaluation of Data Representations
Petra Poklukar · Anastasiia Varava · Danica Kragic
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran · Dimitrios Milios · Pietro Michiardi · Maurizio Filippone
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonparametric Decomposition of Sparse Tensors
Conor Tillinghast · Shandian Zhe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai · Rémi Leluc
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Quadrature on Riemannian Data Manifolds
Christian Fröhlich · Alexandra Gessner · Philipp Hennig · Bernhard Schölkopf · Georgios Arvanitidis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Label-Only Membership Inference Attacks
Christopher Choquette-Choo · Florian Tramer · Nicholas Carlini · Nicolas Papernot
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier · Meyer Scetbon · Rafael Pinot · Jamal Atif · Yann Chevaleyre
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Addressing Catastrophic Forgetting in Few-Shot Problems
Pauching Yap · Hippolyt Ritter · David Barber
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer · Maximilian Baader · Martin Vechev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Temporal Difference Learning as Gradient Splitting
Rui Liu · Alex Olshevsky
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
Christian Kümmerle · Claudio Mayrink Verdun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Amanda Coston · Ashesh Rambachan · Alexandra Chouldechova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
Dominic Danks · Christopher Yau
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Arjun Nitin Bhagoji · Daniel Cullina · Vikash Sehwag · Prateek Mittal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Strategic Classification in the Dark
Ganesh Ghalme · Vineet Nair · Itay Eilat · Inbal Talgam-Cohen · Nir Rosenfeld
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Jishnu Ray Chowdhury · Cornelia Caragea
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation
Elbert Du · Franklyn Wang · Michael Mitzenmacher
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi · Jiahui Gao · Xiaozhe Ren · Hang Xu · Xiaodan Liang · Zhenguo Li · James Kwok
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang · Gautam Kamath · Rachel Cummings
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen · Hongxin Hu · Qian Wang · Li Yinli · Cong Wang · Chao Shen · Qi Li
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Training of Robust Decision Trees Against Adversarial Examples
Daniël Vos · Sicco Verwer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Regularization in Tensor Factorization
Noam Razin · Asaf Maman · Nadav Cohen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Contrastive Learning Automated
Yuning You · Tianlong Chen · Yang Shen · Zhangyang Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor · He Sun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Learning of Continuous-time Bayesian Networks through Interventions
Dominik Linzner · Heinz Koeppl
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Detecting Rewards Deterioration in Episodic Reinforcement Learning
Ido Greenberg · Shie Mannor
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
Raghav Singal · George Michailidis · Hoiyi Ng
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
Aymen Al Marjani · Alexandre Proutiere
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Michael Chang · Sid Kaushik · Sergey Levine · Thomas Griffiths
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially-Private Clustering of Easy Instances
Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato · Takeshi Teshima
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco · Aviral Kumar · Xinyang Geng · Sergey Levine
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
Shreyas Malakarjun Patil · Constantine Dovrolis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Andrew Ross · Finale Doshi-Velez
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sharf: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas · Ricardo Martin-Brualla · Vittorio Ferrari
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GRAND: Graph Neural Diffusion
Ben Chamberlain · James Rowbottom · Maria Gorinova · Michael Bronstein · Stefan Webb · Emanuele Rossi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Domain Generalization using Causal Matching
Divyat Mahajan · Shruti Tople · Amit Sharma
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ikko Yamane · Junya Honda · Florian YGER · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
Deepesh Data · Suhas Diggavi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially Private Correlation Clustering
Mark Bun · Marek Elias · Janardhan Kulkarni
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Purification with Score-based Generative Models
Jongmin Yoon · Sung Ju Hwang · Juho Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
Xu Chen