Zhong, Zixin

9 publications

NeurIPS 2024 Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

JMLR 2024 Optimal Clustering with Bandit Feedback Junwen Yang, Zixin Zhong, Vincent Y. F. Tan

TMLR 2023 Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits Zixin Zhong, Wang Chi Cheung, Vincent Tan

ICML 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

ICML 2023 Stochastic Gradient Succeeds for Bandits Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans

ICML 2021 Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions Zixin Zhong, Wang Chi Cheung, Vincent Tan

JMLR 2021 Thompson Sampling Algorithms for Cascading Bandits Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan

ICML 2020 Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong, Wang Chi Cheung, Vincent Tan

AISTATS 2019 A Thompson Sampling Algorithm for Cascading Bandits Wang Chi Cheung, Vincent Tan, Zixin Zhong