About Me
🤗 My name is Yufeng Yang (杨钰峰 ,pronounced as u-feng iang). I’m a Ph.D. student at CSE department, Texas A&M University, advised by Prof. Yi Zhou. My general research interests revolve around the foundations of machine learning. Specially, I’m interested in the following fields:
Stochastic Optimization: Algorithm design and convergence analysis for modern machine learning paradigms.
Mathematics of Deep Learning: Statistical quantification for the mechanism of certain network architecture; Network training dynamics and optimization algorithm analysis.
Reinforcement Learning Theory, including distributional RL, multi-agent RL and RL reasoning for LLMs.
News
đź“„Papers
Nested SGD for Sinkhorn distance-regularized Distributionally Robust Optimization[arXiv][code],Submitted; [short version] accepted at OPT workshop, Neurips 2024.
Independent Normalized Stochastic Gradient Descent For Generalized Smooth Non-Convex Optimization[arxiv] [code], Submitted.
đź“šEducation
– Ph.D. in Computer Science, Texas A&M University, 2024-now
– Ph.D.(Transfer Out) in Electrical and Computer Engineering, University of Utah, 2023-2024
– M.S. in Computational Science and Engineering, Rice University
– B.S. in Applied Math, the Chinese University of Hong Kong (Shenzhen)
Prior to University, I grew up in Jiayuguan, Gansu Province in mainland China.
Academic Services
– Reviewer: AISTATS(2024), Journal of Combinatorial Optimization
Teaching
– At Rice: ELEC241, Fundamentals of Electrical Engineering I (Role: Grader).