Banghua Zhu
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Electrical Engineering and Computer Science Department, |
About me
I 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.
Research
My 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 Papers
1. 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 Services
1. 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