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Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
v1v2 (latest)

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

Journal of machine learning research (JMLR), 2020
3 May 2020
Bokun Wang
Shiqian Ma
Lingzhou Xue
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu
Youbang Sun
Shahin Shahrampour
179
0
0
24 Oct 2025
Quantum-inspired Benchmark for Estimating Intrinsic Dimension
Quantum-inspired Benchmark for Estimating Intrinsic Dimension
Aritra Das
Joseph T. Iosue
Victor V. Albert
125
0
0
01 Oct 2025
Riemannian Geometric-based Meta Learning
Riemannian Geometric-based Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
JuneYoung Park
YuMi Lee
Tae Joon Kim
Jang-Hwan Choi
326
0
0
14 Mar 2025
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
608
14
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 GuaranteeJournal of machine learning research (JMLR), 2022
Bo Shen
Weijun Xie
Zhen Kong
324
11
0
29 Mar 2022
A Riemannian smoothing steepest descent method for non-Lipschitz
  optimization on submanifolds
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds
Chao Zhang
Xiaojun Chen
Shiqian Ma
168
9
0
09 Apr 2021
A Manifold Proximal Linear Method for Sparse Spectral Clustering with
  Application to Single-Cell RNA Sequencing Data Analysis
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data AnalysisINFORMS Journal on Optimization (INFORMS J. Optim.), 2020
Zhongruo Wang
Bingyuan Liu
Shixiang Chen
Shiqian Ma
Lingzhou Xue
Hongyu Zhao
308
26
0
18 Jul 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and
  Optimization
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Jiaxiang Li
Krishnakumar Balasubramanian
Shiqian Ma
389
5
0
25 Mar 2020
1
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