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Riemannian Natural Gradient Methods


Jul 15, 2022
Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen

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A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP


Jul 13, 2022
Fan Chen, Junyu Zhang, Zaiwen Wen

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NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning


Jun 14, 2021
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

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A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning


May 20, 2021
Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen

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* 29 pages, 6 figures 

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Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems


Jun 17, 2020
Minghan Yang, Dong Xu, Yongfeng Li, Zaiwen Wen, Mengyun Chen

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Sketchy Empirical Natural Gradient Methods for Deep Learning


Jun 16, 2020
Minghan Yang, Dong Xu, Yongfeng Li, Zaiwen Wen, Mengyun Chen

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A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization


Oct 21, 2019
Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

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* 41 pages 

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Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains


Oct 14, 2018
Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan

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A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization


Mar 09, 2018
Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich

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