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Poster
Tue 14:00 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis J. Alexander · Xiaoning Qian
Poster
Tue 18:30 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu · Jiaming Xu
Poster
Wed 6:00 Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Thu 7:30 Local SGD: Unified Theory and New Efficient Methods
Eduard Gorbunov · Filip Hanzely · Peter Richtarik
Poster
Wed 6:00 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information
Prathamesh Mayekar · Ananda Theertha Suresh · Himanshu Tyagi
Poster
Tue 18:30 On the Suboptimality of Negative Momentum for Minimax Optimization
Guodong Zhang · Yuanhao Wang
Poster
Tue 14:00 Active Learning under Label Shift
Eric Zhao · Anqi Liu · Animashree Anandkumar · Yisong Yue
Poster
Tue 18:30 Good Classifiers are Abundant in the Interpolating Regime
Ryan Theisen · Jason Klusowski · Michael Mahoney
Poster
Tue 18:30 A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
Kei Takemura · Shinji Ito · Daisuke Hatano · Hanna Sumita · Takuro Fukunaga · Naonori Kakimura · Ken-ichi Kawarabayashi
Poster
Wed 12:45 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
Zhengqing Zhou · Qinxun Bai · Zhengyuan Zhou · Linhai Qiu · Jose Blanchet · Peter Glynn
Poster
Tue 14:00 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
Sreejith Sreekumar · Zhengxin Zhang · Ziv Goldfeld
Poster
Wed 12:45 Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
Yiliang Zhang · Zhiqi Bu