Yuxin Chen

I am an assistant professor of Electrical Engineering, and an associated faculty member of Computer Science, Applied and Computational Mathematics, and the Center for Statistics and Machine Learning at Princeton University.
Prior to joining Princeton in Spring 2017, I was a postdoctoral scholar in the Department of Statistics at Stanford University supervised by Prof. Emmanuel Candès. I completed my Ph.D. in Electrical Engineering at Stanford University in Fall 2014, under the supervision of Prof. Andrea Goldsmith.
Research areas: mathematical foundations of data science, highdimensional statistics, optimization, reinforcement learning, information theory, and their applications to medical imaging and computational biology.
Contact:
C330, Engineering Quad
Princeton University, Princeton, NJ 08544
Email: yuxin dot chen at princeton dot edu

Openings
I'm looking for highly motivated postdocs with strong mathematical background and interest in the general areas of
highdimensional statistics, nonconvex optimization, and statistical reinforcement learning.
Recent news
Teaching
Selected recent papers
C. Ma, K. Wang, Y. Chi, Y. Chen, “Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution,” Foundations of Computational Mathematics, vol. 20, no. 3, pp. 451632, June 2020 (appeared in part in ICML 2018). [main text][supplement][full paper (Arxiv)][slides]
