Obserwuj
Yan Li
Tytuł
Cytowane przez
Cytowane przez
Rok
Towards Understanding the Importance of Noise in Training Neural Networks
M Zhou, T Liu, Y Li, D Lin, E Zhou, T Zhao
International Conference on Machine Learning, 2019
432019
Deep Reinforcement Learning with Robust and Smooth Policy
Y Li*, Q Shen*, H Jiang, Z Wang, T Zhao
International Conference on Machine Learning, 2020
34*2020
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data
Y Li, EX Fang, H Xu, T Zhao
International Conference on Learning Representations, 2020
32*2020
Non-convex Conditional Gradient Sliding
C Qu, Y Li, H Xu
International Conference on Machine Learning, 2017
222017
Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity
Y Li, G Lan, T Zhao
arXiv preprint arXiv:2201.09457, 2022
92022
Permutation Invariant Policy Optimization for Mean-field Multi-agent Reinforcement Learning: A Principled Approach
Y Li, L Wang, J Yang, E Wang, Z Wang, T Zhao, H Zha
arXiv preprint arXiv:2105.08268, 2021
82021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
T Liu, Y Li, S Wei, E Zhou, T Zhao
International Conference on Artificial Intelligence and Statistics, 1891-1899, 2021
82021
Pessimism Meets Invariance: Provably Efficient Offline Mean-field Multi-agent RL
M Chen, Y Li, E Wang, Z Yang, Z Wang, T Zhao
Advances in Neural Information Processing Systems 34, 17913-17926, 2021
52021
First-order Policy Optimization for Robust Markov Decision Process
Y Li, T Zhao, G Lan
arXiv preprint arXiv:2209.10579, 2022
42022
Residual Network based Direct Synthesis of EM Structures: A Study on One-to-one Transformers
D Munzer, S Er, M Chen, Y Li, NS Mannem, T Zhao, H Wang
IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 143-146, 2020
42020
Block Policy Mirror Descent
G Lan, Y Li, T Zhao
arXiv preprint arXiv:2201.05756, 2022
32022
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
Y Li, C Ju, EX Fang, T Zhao
arXiv preprint arXiv:2108.06808, 2021
22021
Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network
S Er, E Liu, M Chen, Y Li, Y Liu, T Zhao, H Wang
2021 IEEE MTT-S International Microwave Symposium (IMS), 66-69, 2021
22021
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Y Li, D Choudhary, X Wei, B Yuan, B Bhushanam, T Zhao, G Lan
International Conference on Learning Representations, 2022
12022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
T Liu, Y Li, E Zhou, T Zhao
International Conference on Artificial Intelligence and Statistics, 2022
2022
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