Hello and welcome to my home page! Here I post my research background and other related experiences. My name is William Chang and in 2022 I graduated from University of Southern California with a B.A. in mathematics. Since 2023 Fall, I’ve been a PhD student at University of California, Los Angeles in Applied mathematics.

My research interests are rather diverse. It mainly span across mathematics and machine learning. Please see my papers below for more details on my work.

On the side I enjoy tutoring students. I’m willing to tutor students in math and physics at all levels (elementary, middle, high school, and university level as well). You can see my past students and book a session with me via my [Takelessons Profile].

In my free time I like to practice Taekwondo and sing. Please feel free to check out my cover channel on youtube [@WilliamChangMusic]!

Please feel free to reach out to me for anything via chang314@g.ucla.edu!

1. Multiplayer Lipschitz bandits with information asymmetry
   William Chang, Terry Lu

2. LinUCB in Multiplayer Information Asymmetric Contextual Bandits
   William Chang, Terry Lu
   Under Review at Association for the Advancement of Artificial Intelligence, 2024

3. Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication [PDF]
   William Chang, Terry Lu
   

4. Finite-Time Regret Bound of Multi-Agent Thompson Sampling
   Tianyuan Jin, Haolun Hsu, William Chang, Pan Xu
   Under Review at Neural Information Processing Systems, 2023

5. Online Learning for Cooperative Multi-Player Multi-Armed Bandits [PDF]
   William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain
   IEEE Conference on Decision and Control, 2022

1. No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions [PDF]
   Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
   Neural Information Processing Systems, 2023

1. Bode Integral Limitation For Irrational Systems [PDF]
   William Chang, Fariba Ariaei, Edmond Jonckheere
   International Federation of Automatic Control, 2023

1. Approximation Capabilities of Neural Networks using Morphological Perceptions and Generalizations [PDF]
   William Chang, Hassan Hamad, Keith Chugg
   Asilomar conference on signals, systems, and computers, 2022

1. Mixup to the Random Extreme and Its Performances in Robust Image Classification [PDF]
   Jackie Chen, Qianjing Chen, William Chang, Haohan Wang
   Transactions on Machine Learning Research, 2023

1. Understanding Domain Adaptation in the Lens of Causality[PDF]
   William Chang, Haohan Wang
   Under review at Causal Learning and Reasoning, 2024

1. Mixing on Generalized Associahedra
   William Chang, Colin Defant, Daniel Frishberg
   Under Review at International Symposium on Algorithms and Computation, 2023

1. Finite-time singularities in a generalized elastohydrodynamic lubrication equation [PDF]
   William Chang, Hangjie Ji
   Under Review at Applied Mathematics Letters, 2023

1. Compatibility in Ozsvath-Szabo’s bordered HFK via higher representations [PDF]
   William Chang, Andrew Manion
   The Pacific Journal of Mathematics, 2023