Yan Li

According to our database, Yan Li authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Block Policy Mirror Descent.

Guanghui Lan, Yan Li, Tuo Zhao

SIAM J. Optim., September, 2023

2022

First-order Policy Optimization for Robust Markov Decision Process.

Yan Li, Tuo Zhao, Guanghui Lan

CoRR, 2022

Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity.

Yan Li, Tuo Zhao, Guanghui Lan

CoRR, 2022

Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network.

Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang

CoRR, 2022

Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits.

Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably.

Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data.

Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao

CoRR, 2021

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.

Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha

CoRR, 2021

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL.

Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization.

Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers.

David Joseph Munzer, Siawpeng Er, Minshuo Chen, Yan Li, Naga Sasikanth Mannem, Tuo Zhao, Hua Wang

CoRR, 2020

Deep Reinforcement Learning with Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

CoRR, 2020

Deep Reinforcement Learning with Robust and Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

Proceedings of the 37th International Conference on Machine Learning, 2020

Implicit Bias of Gradient Descent based Adversarial Training on Separable Data.

Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Towards Understanding the Importance of Noise in Training Neural Networks.

Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

CoRR, 2019

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data.

Yan Li, Ethan X. Fang, Huan Xu, Tuo Zhao

CoRR, 2019

Toward Understanding the Importance of Noise in Training Neural Networks.

Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

Proceedings of the 36th International Conference on Machine Learning, 2019