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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Poster
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Wed 14:00
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Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin · Tal Lancewicki · Haipeng Luo · Yishay Mansour · Aviv Rosenberg
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Poster
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Thu 9:00
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Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras · Ryann Sim · Stratis Skoulakis
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Poster
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Thu 14:00
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Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Adam Block · Max Simchowitz
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Poster
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Thu 14:00
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A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Chloé Rouyer · Dirk van der Hoeven · Nicolò Cesa-Bianchi · Yevgeny Seldin
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Poster
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Tue 14:00
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Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
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Panel
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Tue 9:15
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Panel 1B-1: Online Minimax Multiobjective… & Minimax-Optimal Multi-Agent RL…
Gen Li · Georgy Noarov
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Workshop
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Distributed Online and Bandit Convex Optimization
Kumar Kshitij Patel · Aadirupa Saha · Nati Srebro · Lingxiao Wang
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Poster
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Distributed Online Convex Optimization with Compressed Communication
Zhipeng Tu · Xi Wang · Yiguang Hong · Lei Wang · Deming Yuan · Guodong Shi
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Poster
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Wed 14:00
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Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
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Poster
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Wed 9:00
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On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab · Michael Jordan · Eric Zhao
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Poster
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Tue 9:00
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Minimax Optimal Online Imitation Learning via Replay Estimation
Gokul Swamy · Nived Rajaraman · Matt Peng · Sanjiban Choudhury · J. Bagnell · Steven Wu · Jiantao Jiao · Kannan Ramchandran
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