About me
Hi! I'm a new Ph.D. student at the Electrical and Computer Engineering Department of Carnegie Mellon University. I am fortunate to be advised by Prof. Yuejie Chi. Previously I spent one year at Peking University for a data science master’s program. Before that, I received my B.S. in Mathematics (Honors Program) from Xi'an Jiaotong University. Here is my CV.
Research Interests
I have eclectic interests in machine learning, deep learning, reinforcement learning, optimization and game theory. Specifically, I am interested in developing sample and computationally efficient algorithms for some fundamental machine learning problems.
Publications
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Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning
Preprint, 2023
Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
[PDF] [BibTex] -
Revisiting the ACVI Method for Constrained Variational Inequalities
ICLR 2024
Tatjana Chavdarova*, Matteo Pagliardini*, Tong Yang*, Michael I. Jordan (*equal contribution, order is alphabetical.)
[PDF] [Poster (OPT@NeurIPS '22)] [BibTex] -
Solving Constrained Variational Inequalities via an Interior Point Method
ICLR 2023 Spotlight!
Tong Yang*, Michael I. Jrodan*, Tatjana Chavdarova* (*equal contribution)
[PDF] [Poster (WiML@ICML '22)] [Code] [BibTex] -
Optimization for Amortized Inverse Problems
ICML 2023
Tianci Liu*, Tong Yang*, Quan Zhang, Qi Lei (*equal contribution)
[PDF] [BibTex]