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Poster
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Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu · Xinshao Wang · Jiulong Liu
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Poster
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Thu 9:00
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Near-Optimal Private and Scalable k-Clustering
Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
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Poster
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Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
Zihan Zhang · Yuhang Jiang · Yuan Zhou · Xiangyang Ji
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Poster
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Tue 14:00
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Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
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Poster
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Tue 14:00
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Near-Optimal Collaborative Learning in Bandits
Clémence Réda · Sattar Vakili · Emilie Kaufmann
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Poster
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Tue 9:00
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Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du
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Workshop
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Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
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Poster
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Thu 14:00
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Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat · Matteo Turchetta · Melanie Zeilinger · Andreas Krause
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Panel
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Tue 9:15
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Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda · Daniel Vial
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Poster
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Tue 9:00
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Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Aritra Mitra · Arman Adibi · George J. Pappas · Hamed Hassani
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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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Panel
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Tue 10:00
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Panel 1C-5: Privacy of Noisy… & Near-Optimal Private and…
Shyam Narayanan · Kunal Talwar
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