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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
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
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)
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) @ 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)
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)
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)
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) @ 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)
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)
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)
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)
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) @ 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) @ 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)
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)
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)
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
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)
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)
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)
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) @ 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)
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)
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)
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)
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)
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun Kuchibhotla · Qinqing Zheng
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)
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) @ 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)
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)
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)
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)
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
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)
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) @ 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) @ 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
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) @ 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
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Alek Dimitriev · Mingyuan Zhou
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
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
Near Optimal Reward-Free Reinforcement Learning
Zhang Zihan · Simon Du · Xiangyang Ji
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
Dynamic Game Theoretic Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
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
An exact solver for the Weston-Watkins SVM subproblem
Yutong Wang · Clay Scott
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
Active Feature Acquisition with Generative Surrogate Models
Yang Li · Junier Oliva
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
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) @ 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
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
Batch Value-function Approximation with Only Realizability
Tengyang Xie · Nan Jiang
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
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
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
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
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
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
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) @ Virtual
APS: Active Pretraining with Successor Features
Hao Liu · Pieter Abbeel
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) @ 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)
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
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) @ 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)
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)
Nonparametric Hamiltonian Monte Carlo
Carol Mak · Fabian Zaiser · Luke Ong
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)
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)
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)
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)
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)
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) @ 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)
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) @ 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)
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)
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) @ 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)
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)
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)
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
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
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)
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)
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)
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) @ 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)
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
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) @ 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
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
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
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
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) @ 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) @ 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)
Multi-group Agnostic PAC Learnability
Guy Rothblum · Gal Yona
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) @ 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)
Incentivizing Compliance with Algorithmic Instruments
Dung Ngo · Logan Stapleton · Vasilis Syrgkanis · Steven Wu
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)
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
Renyi Chen · Molei Tao
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)
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)
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)
Relative Deviation Margin Bounds
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
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)
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)
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)
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)
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)
Kernel Continual Learning
Mohammad Mahdi Derakhshani · Xiantong Zhen · Ling Shao · Cees Snoek
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) @ Virtual
Selecting Data Augmentation for Simulating Interventions
Maximilian Ilse · Jakub Tomczak · Patrick Forré
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
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) @ 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