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Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold

3 May 2020
Bokun Wang
Shiqian Ma
Lingzhou Xue
ArXivPDFHTML

Papers citing "Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold"

3 / 3 papers shown
Title
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Kuan-Fu Ding
Jingyang Li
Kim-Chuan Toh
25
8
0
26 Jun 2023
Smooth Robust Tensor Completion for Background/Foreground Separation
  with Missing Pixels: Novel Algorithm with Convergence Guarantee
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee
Bo Shen
Weijun Xie
Zhen Kong
32
8
0
29 Mar 2022
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
84
736
0
19 Mar 2014
1