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A Manifold Proximal Linear Method for Sparse Spectral Clustering with
  Application to Single-Cell RNA Sequencing Data Analysis
v1v2 (latest)

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis

INFORMS Journal on Optimization (INFORMS J. Optim.), 2020
18 July 2020
Zhongruo Wang
Bingyuan Liu
Shixiang Chen
Shiqian Ma
Lingzhou Xue
Hongyu Zhao
ArXiv (abs)PDFHTML

Papers citing "A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis"

9 / 9 papers shown
Enhancing Distributional Robustness in Principal Component Analysis by Wasserstein Distances
Enhancing Distributional Robustness in Principal Component Analysis by Wasserstein Distances
Lei Wang
Xin Liu
Xiaojun Chen
393
0
0
04 Mar 2025
Spatial-Temporal Mamba Network for EEG-based Motor Imagery
  Classification
Spatial-Temporal Mamba Network for EEG-based Motor Imagery ClassificationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024
Xiaoxiao Yang
Ziyu Jia
Mamba
350
16
0
15 Sep 2024
Do algorithms and barriers for sparse principal component analysis
  extend to other structured settings?
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?IEEE Transactions on Signal Processing (IEEE TSP), 2023
Guanyi Wang
Mengqi Lou
A. Pananjady
CML
293
2
0
25 Jul 2023
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria
  for Robust Phase Retrieval
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase RetrievalIEEE Transactions on Signal Processing (IEEE TSP), 2023
Zhong Zheng
Shiqian Ma
Lingzhou Xue
184
11
0
25 Apr 2023
Forward-backward Gaussian variational inference via JKO in the
  Bures-Wasserstein Space
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein SpaceInternational Conference on Machine Learning (ICML), 2023
Michael Diao
Krishnakumar Balasubramanian
Sinho Chewi
Adil Salim
BDL
184
47
0
10 Apr 2023
A Riemannian ADMM
A Riemannian ADMM
Jiaxiang Li
Shiqian Ma
Tejes Srivastava
234
23
0
03 Nov 2022
Provably Uncertainty-Guided Universal Domain Adaptation
Provably Uncertainty-Guided Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Paul L. Rosin
Yibin Li
Wei Emma Zhang
OODUQCV
808
0
0
19 Sep 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
171
9
0
09 Apr 2021
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel ManifoldJournal of machine learning research (JMLR), 2020
Bokun Wang
Shiqian Ma
Lingzhou Xue
333
27
0
03 May 2020
1
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