2025年3月9日 · Yuxin Chen I am an associate professor of Statistics and Data Science and of Electrical and Systems Engineering at University of Pennsylvania. Before moving to UPenn in 2022, I was an assistant professor of Electrical and Computer Engineering , and an associated faculty member of Computer Science and Applied and Computational Mathematics at ...

O1.Yuxin Chen, Yuejie Chi, Jianqing Fan, and Cong Ma, “Spectral Methods for Data Science: A Statistical Perspective,” Foundations and Trends for Machine Learning, vol. 14: No. 5, pp. 566-806, 2021.

2025年3月9日 · Y. Chen, J. Fan, B. Wang, Y. Yan, Journal of the American Statistical Association, vol. 118, no. 542, pp. 858-868, 2023. [paper] Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

2025年3月9日 · Yuxin Chen. Home. Experiences. Group. Teaching. Publications. Software. Resume. Talks. Workshops. Appointments and Education University of Pennsylvania (01/2022 – present) Associate Professor of Statistics and Data Science. Associate Professor of Electrical and Systems Engineering (secondary appointment)

“Spectral methods for data science: a statistical perspective,” Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Foundations and Trends in Machine Learning, 2021 Part 1: Introduction

2022年4月27日 · Yuxin Chen, Wharton Statistics and Data Science, Spring 2022 Course Description This is a graduate level course covering various aspects of mathematical data science, particularly for large-scale problems.

Teaching University of Pennsylvania. Spring 2025: Convex Optimization For Statistics And Data Science (STAT4810, STAT5810, OIDD4810, OIDD5810)

Yanxi Chen (First Job: Alibaba DAMO Academy) Hong Hu (Faculty, Washington University in St. Louis) Gen Li (Faculty, Chinese University of Hong Kong) Cong Ma (Faculty, University of Chicago) Yuling Yan (Faculty, University of Wisconsin–Madison) Pengkun Yang (Faculty, Tsinghua University)

2025年3月9日 · Tutorials, Short Courses and Lecture Series. Information-Theoretic, Statistical and Algorithmic Foundations of Reinforcement Learning. International Symposium on Information Theory (ISIT) 2024

Yuxin Chen, Princeton University, Fall 2019 These lecture notes will be updated frequently, and may contain typographical or even factual errors. Gradient methods (unconstrained problems) (last updated: 09/23)