Banghua Zhu
About meI received the B.S. degree in electronic engineering from Tsinghua University. I'm currently working as a fourth year Ph.D. student, advised by Prof. Jiantao Jiao and Prof. Michael I. Jordan. I was also very fortunate to work with Prof. Jacob Steinhardt, Prof. Martin Wainwright and Prof. David Tse. ResearchMy research interests are mainly on the fundamental problems in statistics, machine learning, mechanism design and security. In particular, I would like to deepen the understanding of the fundamental limit in robust statistics, distributed statistical inference, reinforcement learning and mechanism design. Selected Papers1. Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell In submission. 2. Minimax Off-Policy Evaluation for Multi-Armed Bandits Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright In submission. 3.Robust estimation via generalized quasi-gradients Banghua Zhu, Jiantao Jiao, Jacob Steinhardt Information and Inference: A Journal of the IMA 4.When does the Tukey Median work? Banghua Zhu, Jiantao Jiao, Jacob Steinhardt ISIT 2020. 5. Generalized Resilience and Robust Statistics Banghua Zhu, Jiantao Jiao, Jacob Steinhardt In submission. 6. Deconstructing Generative Adversarial Networks Banghua Zhu, Jiantao Jiao, David Tse IEEE Transactions on Information Theory. Teaching and Services1. Journal review: Bernoulli, Journal of the American Statistical Association, Information and Inference: A Journal of the IMA, IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal on Selected Areas in Communication, 2. Conference review: NeurIPS, ICML, ISIT 3. Teaching Assistant: EE 126 Spring 2020, DATA 102 Fall 2020 |