Zixiang Chen
Department of Computer Science,
University of California, Los Angeles.
Contact: chenzx19 at cs dot ucla dot edu
chenzx997 at gmail dot com
I am currently a Ph.D. student in computer science at UCLA, advised by Prof. Quanquan Gu. I obtained my bachelor’s degree in mathematics from Tsinghua University. I am broadly interested in the theory and applications of deep learning, optimization, and control, with a focus on generative models, representation learning, and multi-agent reinforcement learning. I was a visiting graduate student in the theory of reinforcement learning program at the Simons Institute for the Theory of Computing.
Recent News:
[01/2024] Two papers get accepted to ICLR 2024. Congrats to all the collaborators!
[01/2024] Happy new year! Release our first paper in 2024: "Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models." Let LLM Self Play fIne tuNing (SPIN) and get stronger!
[12/2023] Flying to and attending NeuRIPS. Have a good time in New Orleans!
[09/2023] Two papers get accepted to Neurips 2023. Prepare to revisit New Orleans.
[07/2023] Have a good time in Hawaii.
[05/2023] Two papers get accepted to ICML 2023. Looking forward to the trip to Hawaii.
[01/2023] Three papers are accepted to ICLR2023.
[12/2023] First time attending the conference in person. Enjoy the Neurips very much.
[09/2022] Two papers are accepted to Neurips 2022.
[08/2022] Talk on "Toward Understanding Mixture of Experts in Deep Learning”, in Representation Learning Theory TTIC Chicago Summer Workshop.
[06/2022] Passed my oral qualify exam. Thanks a lot to the committees for their valuable suggestions and guidance!.
[05/2022] Talk on “Benign Overfitting in Two-layer Convolutional Neural Networks” in Math Machine Learning seminar MPI MiS + UCLA.