Cong Ma
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I am an assistant professor in the Department of Statistics at the University of Chicago. Previously, I was a postdoctoral researcher at UC Berkeley, advised by Professor Martin Wainwright. I obtained my Ph.D. at Princeton University in 2020, advised by Professor Yuxin Chen and Professor Jianqing Fan. Prior to the graduate school, I received my bachelor's degree in Electrical Engineering from Tsinghua University in 2015. E-mail: congm [@] uchicago [DOT] edu
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News
Our paper on nonconvex statistical optimization has been selected for the 2024 SIAM Activity Group on Imaging Science Best Paper Prize.
Our paper ‘‘Off-Policy Estimation with Adaptively Collected Data: The Power of Online Learning’’ has been accepted to Neurips 2024.
A new paper on robust risk evaluation: Distributionally Robust Risk Evaluation with an Isotonic Constraint.
A new paper on item parameter estimation in the Rasch model: Random Pairing MLE for Estimation of Item Parameters in Rasch Model.
Our paper on ranking Top-
Ranking with a Monotone Adversary has been accepted to COLT 2024.
Our paper on covariate shift Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift has been accepted to ICLR 2024.
Our paper on policy evaluation Sharp High-Probability Sample Complexities for Policy Evaluation with Linear Function Approximation has been accepted to IEEE Transactions on Information Theory, 2024.