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Poster
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Tue 14:00
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Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He · Dongruo Zhou · Tong Zhang · Quanquan Gu
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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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Thu 14:00
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Non-stationary Bandits with Knapsacks
Shang Liu · Jiashuo Jiang · Xiaocheng Li
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Poster
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Thu 14:00
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Active Learning with Safety Constraints
Romain Camilleri · Andrew Wagenmaker · Jamie Morgenstern · Lalit Jain · Kevin Jamieson
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Poster
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Tue 14:00
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PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang · Chicheng Zhang · Kwang-Sung Jun
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Poster
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Wed 14:00
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Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
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Poster
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Tue 9:00
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Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li · Hongning Wang
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Poster
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Wed 9:00
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Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Yeoneung Kim · Insoon Yang · Kwang-Sung Jun
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Poster
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Wed 9:00
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Pessimism for Offline Linear Contextual Bandits using ℓp Confidence Sets
Gene Li · Cong Ma · Nati Srebro
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Poster
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Tue 9:00
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Expected Improvement for Contextual Bandits
Hung Tran-The · Sunil Gupta · Santu Rana · Tuan Truong · Long Tran-Thanh · Svetha Venkatesh
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Poster
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Wed 9:00
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Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context
Osama Hanna · Lin Yang · Christina Fragouli
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Poster
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Wed 14:00
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The alignment property of SGD noise and how it helps select flat minima: A stability analysis
Lei Wu · Mingze Wang · Weijie Su
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