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

• Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning
  Preprint, 2023
  Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
  [PDF] [BibTex] @misc{yang2023federated, title={Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning}, author={Tong Yang and Shicong Cen and Yuting Wei and Yuxin Chen and Yuejie Chi}, year={2023}, eprint={2311.00201}, archivePrefix={arXiv}, primaryClass={cs.LG} }

• 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] @article{chavdarova2022acvi, title = {Revisiting the ACVI Method for Constrained Variational Inequalities}, author = {Chavdarova, Tatjana and Pagliardini, Matteo and Yang, Tong and Jordan, Michael I.}, journal= {ArXiv:2210.15659}, year = {2022}, }

• 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] @article{yang2022acvi, title = {Solving Constrained Variational Inequalities via an Interior Point Method}, author = {Tong Yang and Michael I. Jordan and Tatjana Chavdarova}, journal = {ArXiv:2206.10575}, year = {2022}, }

• Optimization for Amortized Inverse Problems
  ICML 2023
  Tianci Liu*, Tong Yang*, Quan Zhang, Qi Lei (*equal contribution)
  [PDF] [BibTex] @inproceedings{liu2023optimization, title={Optimization for amortized inverse problems}, author={Liu, Tianci and Yang, Tong and Zhang, Quan and Lei, Qi}, booktitle={International Conference on Machine Learning}, pages={22289--22319}, year={2023}, organization={PMLR} }