A regularized semi-smooth Newton method with projection steps for composite convex programs X Xiao, Y Li, Z Wen, L Zhang Journal of Scientific Computing, 1-26, 2018 | 83 | 2018 |
Sketch-based empirical natural gradient methods for deep learning M Yang, D Xu, Z Wen, M Chen, P Xu Journal of Scientific Computing 92 (3), 94, 2022 | 27 | 2022 |
A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations Y Li, Z Wen, C Yang, Y Yuan SIAM Journal on Scientific Computing 40 (6), A4131-A4157, 2018 | 18* | 2018 |
A stochastic trust-region framework for policy optimization M Zhao, Y Li, Z Wen arXiv preprint arXiv:1911.11640, 2019 | 6 | 2019 |
A stochastic composite augmented Lagrangian method for reinforcement learning Y Li, M Zhao, W Chen, Z Wen SIAM Journal on Optimization 33 (2), 921-949, 2023 | 5 | 2023 |
Low-rank matrix iteration using polynomial-filtered subspace extraction Y Li, H Liu, Z Wen, YX Yuan SIAM Journal on Scientific Computing 42 (3), A1686-A1713, 2020 | 4 | 2020 |
Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems M Yang, D Xu, Y Li, Z Wen, M Chen arXiv e-prints, arXiv: 2006.09606, 2020 | | 2020 |