Research Interests
Reinforcement learning, online machine learning (e.g., multi-armed bandit problem)
Ph.D Thesis
- Performance Guarantees for Online Learning: Cascading Bandits and Adversarial Corruptions
(Louis Chen Hsiao Yun Best Dissertation Prize)
Zixin Zhong
Department of Mathematics, National University of Singapore, October 2021
Tutorials
- Pure Exploration in Multi-Armed Bandits
Vincent Y. F. Tan, Zixin Zhong
International Joint Conference on Artificial Intelligence (IJCAI), Messe Wien, Vienna, Austria, July 23 - 29, 2022
*: Corresponding author, ∗: equal contribution.
Journal Papers
- Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits (featured certification) [code]
Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
Transactions on Machine Learning Research (TMLR), Accepted in September 2023 - Almost Optimal Variance-Constrained Best Arm Identification
Yunlong Hou, Vincent Y. F. Tan, and Zixin Zhong*
IEEE Transactions on Information Theory (IEEE TIT), 2023, doi: 10.1109/TIT.2022.3222231 - Fast Beam Alignment via Pure Exploration in Multi-armed Bandits (Journal Version)
Yi Wei, Zixin Zhong*, and Vincent Y. F. Tan
IEEE Transactions on Wireless Communications (IEEE TWC), 2023, doi: 10.1109/TWC.2022.3217131 - Thompson Sampling Algorithms for Cascading Bandits
[code]
Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
Journal of Machine Learning Research (JMLR) , Vol. 22, No. 218, Pages 1 - 66, September 2021
Conference Papers
- Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
Yunlong Hou, Vincent Y. F. Tan, and Zixin Zhong*
International Conference on Machine Learning (ICML), Hawaii, US, 23-29 July 2023 - Stochastic Gradient Succeeds for Bandits
Jincheng Mei*∗, Zixin Zhong*∗, Bo Dai, Alekh Agarwal, Csaba Szepesvári, and Dale Schuurmans
International Conference on Machine Learning (ICML), Hawaii, US, 23-29 July 2023 - Fast Beam Alignment via Pure Exploration in Multi-armed Bandits
Yi Wei, Zixin Zhong, and Vincent Y. F. Tan
IEEE International Symposium on Information Theory (ISIT), Aalto, Finland, 26 June-1 July 2022 - Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
[video,
code]
Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
International Conference on Machine Learning (ICML), Virtual, 18-24 July 2021 - Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
International Conference on Machine Learning (ICML), Virtual, 13-18 July 2020 - A Thompson Sampling Algorithm for Cascading Bandits (oral presentation)
Wang Chi Cheung, Vincent Y. F. Tan, and Zixin Zhong
International Conference on Artificial Intelligence and Statistics (AISTATS), Naha, Okinawa, Japan, 16-18 April 2019
Professional Activities
Conference Reviewer
2023 Neural Information Processing Systems (NeurIPS)
European Workshop on Reinforcement Learning (EWRL)
International Conference on Machine Learning (ICML)
International Conference on Artificial Intelligence and Statistics (AISTATS)
International Conference on Learning Representations (ICLR)
2022 Neural Information Processing Systems (NeurIPS)
International Conference on Machine Learning (ICML)
International Conference on Artificial Intelligence and Statistics (AISTATS)
International Conference on Learning Representations (ICLR)
2021 Neural Information Processing Systems (NeurIPS)
International Conference on Artificial Intelligence and Statistics (AISTATS)
Journal Reviewer
IEEE Transactions on Information Theory (TIT)
IEEE Transactions on Signal Processing (TSP)
Transactions on Machine Learning Research (TMLR)
Academic Activities
- Rising Stars Workshop in EECS, The University of Texas at Austin, 27-28 October 2022
- INFORMS 2021 Annual Meeting, Virtual, 24-27 October 2021
Oral presentation of the work appeared at ICML 2021 - The 22nd Conference of the International Federation of Operational Research Societies (IFORS), Virtual, 23-27 August 2021
Oral presentation of the work appeared at ICML 2021 - The 3rd TBSI Workshop on Learning Theory (WOLT), TBSI, 5-7 July 2021
Oral and poster presentation of the work appeared at ICML 2021 - Analytics for X, iORA, NUS, 19-21 May 2021
Oral presentation of the work appeared at ICML 2021