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Poster
Tue 9:00 Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Aritra Mitra · Arman Adibi · George J. Pappas · Hamed Hassani
Poster
Tue 14:00 Near-Optimal Collaborative Learning in Bandits
Clémence Réda · Sattar Vakili · Emilie Kaufmann
Poster
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu · Weihang Xu · Siwei Wang · Zhixuan Fang
Poster
Tue 14:00 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
Achraf Azize · Debabrota Basu
Poster
Wed 14:00 A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He · Tianhao Wang · Yifei Min · Quanquan Gu
Poster
Tue 9:00 Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Andrea Tirinzoni · Matteo Papini · Ahmed Touati · Alessandro Lazaric · Matteo Pirotta
Poster
Thu 14:00 The price of unfairness in linear bandits with biased feedback
Solenne Gaucher · Alexandra Carpentier · Christophe Giraud
Poster
Thu 14:00 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
Junwen Yang · Vincent Tan
Poster
Tue 14:00 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He · Dongruo Zhou · Tong Zhang · Quanquan Gu
Poster
Thu 9:00 Minimax Regret for Cascading Bandits
Daniel Vial · Sujay Sanghavi · Sanjay Shakkottai · R. Srikant
Poster
Wed 9:00 Best of Both Worlds Model Selection
Aldo Pacchiano · Christoph Dann · Claudio Gentile
Poster
Thu 14:00 Non-stationary Bandits with Knapsacks
Shang Liu · Jiashuo Jiang · Xiaocheng Li