Poster
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Wed 16:30
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Exactly Minimax-Optimal Locally Differentially Private Sampling
Hyun-Young Park · Shahab Asoodeh · Si-Hyeon Lee
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Poster
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Thu 16:30
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Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
Mark Rowland · Kevin Li · Remi Munos · Clare Lyle · Yunhao Tang · Will Dabney
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Poster
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Wed 11:00
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Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou · Haishan Ye · Luo Luo
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Poster
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Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang · Xiang Li · Yipeng Shen · Niao He · Jinming Xu
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Workshop
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Fast decentralized gradient tracking for federated learning with local updates: From mini to minimax optimization
Chris Junchi Li
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Poster
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Thu 16:30
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Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
Weixin An · Yuanyuan Liu · Fanhua Shang · Hongying Liu
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Poster
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Wed 16:30
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Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
Victor Boone · Zihan Zhang
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Poster
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Wed 16:30
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Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
Zhishuai Liu · Pan Xu
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Poster
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Wed 16:30
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Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
Haolin Liu · Artin Tajdini · Andrew Wagenmaker · Chen-Yu Wei
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Poster
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Thu 16:30
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Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee
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Poster
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Fri 16:30
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Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Ruichen Jiang · Ali Kavis · Qiujiang Jin · Sujay Sanghavi · Aryan Mokhtari
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Poster
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Thu 11:00
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First-Order Minimax Bilevel Optimization
Yifan Yang · Zhaofeng Si · Siwei Lyu · Kaiyi Ji
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