Research Interests

Reinforcement learning, online machine learning (e.g., multi-armed bandit problem)


Ph.D Thesis

  1. Performance Guarantees for Online Learning: Cascading Bandits and Adversarial Corruptions
    Zixin Zhong
    Department of Mathematics, National University of Singapore, October 2021


Tutorials

  1. 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

Preprints

  1. On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits
    Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
    Submitted, October 2021


Journal Papers

  1. Almost Optimal Variance-Constrained Best Arm Identification
    Yunlong Hou, and Vincent Y. F. Tan, Zixin Zhong*
    IEEE Transactions on Information Theory (IEEE TIT), 2022, doi: 10.1109/TIT.2022.3222231
  2. 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), 2022, doi: 10.1109/TWC.2022.3217131
  3. 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

  1. 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
  2. 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
  3. 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
  4. 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   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

  1. Rising Stars Workshop in EECS, The University of Texas at Austin, 27-28 October 2022
  2. INFORMS 2021 Annual Meeting, Virtual, 24-27 October 2021
    Oral presentation of the work appeared at ICML 2021
  3. 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
  4. The 3rd TBSI Workshop on Learning Theory (WOLT), TBSI, 5-7 July 2021
    Oral and poster presentation of the work appeared at ICML 2021
  5. Analytics for X, iORA, NUS, 19-21 May 2021
    Oral presentation of the work appeared at ICML 2021