Mentored Research

I’m the founder of BruinML. I founded this group in January of 2024. Currently the president is Kenny Guo

I have had the privilege of mentoring many amazing students in research projects since Spring 2024. If you’re interested in a project please let me know chang314@g.ucla.edu.

1. Accelerating Low-Frequency Convergence for Limited-Angle DBT via Two-Channel Fidelity in PDHG
   Taro Iyadomi, Ricardo Parada, Anna Kim, Lily Jiang, Emil Sidky, William Chang
   Under Review at CT Meetings, 2026

2. Decentralized Learning of Stackelberg Equilibrium in General-Sum Leader-Controller Markov Games
   Kenny Guo, Ricardo Parada, Helen Yuan, Larissa Xu, William Chang
   Under Review at International Conference in Machine Learning, 2026

3. Policy Optimization for Corrupted Markov Decision Processes
   Khang Nguyen, Kenny Guo, David Yu, William Chang
   Under Review at International Conference in Machine Learning, 2026

4. Best Arm Identification in Lipschitz Bandits: Uniform and Adaptive Strategies
   Khang Nguyen, Larissa Xu, Lily Jiang, William Chang
   Under Review at International Conference in Machine Learning, 2026

5. Improved Multiplayer Bandit Algorithms for Bernoulli Noise
   Brook Chuang, William Chang
   Under Review at Conference in Decision and Control, 2025

6. LinUCB in Multiplayer Information Asymmetric Contextual Bandits
   William Chang, Terry Lu
   Transactions of Machine Learning Research, 2025

7. Mixing on Generalized Associahedra
   William Chang, Colin Defant, Daniel Frishberg
   Annals of Combinatorics, 2025

8. DCM Bandits: Multiplayer Information Asymmetric Cascading Bandits For Multiple Clicks
   Andy Wang, Charlton Shih, William Chang
   Under Review at Transactions of Machine Learning Research

9. Adversarially Robust Latent Bandits in Multiplayer Asymmetric Settings
   Helen Yuan, Kanzah Areej Jamil, Vanessa Jolie Pare, William Chang
   Under Review at Transactions of Machine Learning Research

10. Multiplayer Information Asymmetric Linear Combinatorial Bandits
    Jacqueline Liu, Bree Chen, Xingjian Li, Yuxi Luo, William Chang
    Under Review at Transactions of Machine Learning Research

11. The Learnability of the Multiplayer Adversarial Bandit Problem
    David Yu, Khang Nguyen, Daniel Yu, William Chang
    Under Review at Transactions of Machine Learning Research

12. Heavy Tailed Reward Distributions for Multiplayer Bandits
    Daphne Feng, Ricardo Parada, Lily Jiang, Sophia Yi, William Chang
    Under Review at Transactions of Machine Learning Research

13. Coordinating the Best Policy in Information Asymmetric MDPs
    Helen Yuan, Kanzah Areej Jamil, Chenzhang Zhao, Xingjian Li, William Chang
    Under Review at Transactions of Machine Learning Research

14. Cooperative Information Asymmetric Multiplayer Learning in Markov Decision Processes
    Larissa Xu, King Bi, William Chang
    Under Review at Transactions of Machine Learning Research

15. Multiplayer Information Asymmetric Bandits in Metric Spaces
    Aditi Kartik, William Chang
    Under Review at Transactions of Machine Learning Research

16. Multi-Player Information Asymmetric Multiple Arm Identification
    Larissa Xu, Jasmine Nguyen, William Chang
    Under Review at Journal of Machine Learning Research

17. Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits
    Kenny Guo, Lily Jiang, Lune Chan, Sophia Yi, William Chang
    Under Review at Journal of Machine Learning Research

18. Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards
    William Chang, Terry Lu
    Conference on Decision and Control, 2024

19. Finite-Time Regret Bound of Multi-Agent Thompson Sampling
    Tianyuan Jin, Haolun Hsu, William Chang, Pan Xu
    Association for the Advancement of Artificial Intelligence, 2024

20. A pathological property of nonlocal discrete operators
    William Chang, Christopher S. Goodrich, Valentio Iverson, Khang Nguyen
    Proceedings of the American Mathematical Society, Series B