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Poster
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Wed 21:00
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Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
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Spotlight
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Wed 17:30
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Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
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Poster
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Wed 21:00
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Near-Optimal Linear Regression under Distribution Shift
Qi Lei · Wei Hu · Jason Lee
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Poster
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Wed 9:00
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Near-Optimal Confidence Sequences for Bounded Random Variables
Arun Kuchibhotla · Qinqing Zheng
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Spotlight
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Wed 7:20
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Instance-Optimal Compressed Sensing via Posterior Sampling
Ajil Jalal · Sushrut Karmalkar · Alexandros Dimakis · Eric Price
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Poster
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Wed 9:00
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Instance-Optimal Compressed Sensing via Posterior Sampling
Ajil Jalal · Sushrut Karmalkar · Alexandros Dimakis · Eric Price
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Poster
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Wed 9:00
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Online A-Optimal Design and Active Linear Regression
Xavier Fontaine · Pierre Perrault · Michal Valko · Vianney Perchet
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Poster
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Wed 21:00
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Task-Optimal Exploration in Linear Dynamical Systems
Andrew Wagenmaker · Max Simchowitz · Kevin Jamieson
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Poster
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Thu 9:00
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Near-Optimal Algorithms for Explainable k-Medians and k-Means
Konstantin Makarychev · Liren Shan
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Spotlight
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Wed 6:20
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Near-Optimal Confidence Sequences for Bounded Random Variables
Arun Kuchibhotla · Qinqing Zheng
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Spotlight
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Thu 6:20
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On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
Jie Shen
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Spotlight
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Thu 5:30
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Near-Optimal Algorithms for Explainable k-Medians and k-Means
Konstantin Makarychev · Liren Shan
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