2025年3月9日 · Y. Chen and E. J. Candes, “Solving random quadratic systems of equations is nearly as easy as solving linear systems,” Communications on Pure and Applied Mathematics, …

Chen Cheng, Yuting Wei, and Yuxin Chen, “Tackling Small Eigen-gaps: Fine-Grained Eigenvector Esti-mation and Inference under Heteroscedastic Noise,” IEEE Transactions on Information …

2025年3月9日 · Y. Chi and Y. Chen, IEEE Trans. on Signal Processing, vol. 63, no. 4, pp. 1030 - 1042, Feb. 2015. [paper] Minimax Capacity Loss under Sub-Nyquist Universal Sampling

2025年3月9日 · Appointments and Education University of Pennsylvania (01/2022 – present) Associate Professor of Statistics and Data Science Associate Professor of Electrical and …

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

2022年4月27日 · We will focus on designing algorithms that are effective in both theory and practice. Lectures Mon, Wed 1:45 PM - 3:15 PM Room: Zoom: January 12 and January 19 …

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

Wenhao Zhan (ECE PhD student at Princeton, co-advised with Jason Lee) Zihan Zhang (Postdoc, co-advised with Simon Shaolei Du and Jason Lee) Alumni Joshua Agterberg (Faculty, …

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 …

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