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Accelerated Alternating Projections for Robust Principal Component
  Analysis
v1v2v3v4 (latest)

Accelerated Alternating Projections for Robust Principal Component Analysis

15 November 2017
HanQin Cai
Jian-Feng Cai
Ke Wei
ArXiv (abs)PDFHTML

Papers citing "Accelerated Alternating Projections for Robust Principal Component Analysis"

24 / 24 papers shown
Title
A Dual Basis Approach for Structured Robust Euclidean Distance Geometry
A Dual Basis Approach for Structured Robust Euclidean Distance Geometry
Chandra Kundu
Abiy Tasissa
HanQin Cai
50
0
0
23 May 2025
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer
Boaz Nadler
72
0
0
19 May 2025
Structured Sampling for Robust Euclidean Distance Geometry
Structured Sampling for Robust Euclidean Distance Geometry
Chandra Kundu
Abiy Tasissa
HanQin Cai
170
1
0
14 Dec 2024
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Paris Giampouras
HanQin Cai
René Vidal
147
4
0
22 Oct 2024
Riemannian Optimization for Non-convex Euclidean Distance Geometry with
  Global Recovery Guarantees
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
Chandler Smith
HanQin Cai
Abiy Tasissa
77
4
0
08 Oct 2024
Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions
Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions
Tianming Wang
Ke Wei
68
1
0
28 Jul 2024
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
HanQin Cai
Longxiu Huang
Chandra Kundu
Bowen Su
74
4
0
28 Jan 2024
Robust Principal Component Analysis using Density Power Divergence
Robust Principal Component Analysis using Density Power Divergence
Subhrajyoty Roy
A. Basu
A. Ghosh
22
0
0
24 Sep 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis
Deep Unrolling for Nonconvex Robust Principal Component Analysis
E. C. Tan
C. Chaux
Emmanuel Soubies
Vincent Y. F. Tan
97
3
0
12 Jul 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery
  with Sparse Corruption
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
HanQin Cai
Zehan Chao
Longxiu Huang
Deanna Needell
113
11
0
06 May 2023
Robust Implementation of Foreground Extraction and Vessel Segmentation
  for X-ray Coronary Angiography Image Sequence
Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence
Zeyu Fu
Zhuang Fu
Chenzhuo Lv
Jun Yan
Jian Fei
Hui Han
175
12
0
15 Sep 2022
Fast and Provable Tensor Robust Principal Component Analysis via Scaled
  Gradient Descent
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
Harry Dong
Tian Tong
Cong Ma
Yuejie Chi
89
14
0
18 Jun 2022
Riemannian CUR Decompositions for Robust Principal Component Analysis
Riemannian CUR Decompositions for Robust Principal Component Analysis
Keaton Hamm
Mohamed Meskini
HanQin Cai
84
9
0
17 Jun 2022
abess: A Fast Best Subset Selection Library in Python and R
abess: A Fast Best Subset Selection Library in Python and R
Jin Zhu
Xueqin Wang
Liyuan Hu
Junhao Huang
Kangkang Jiang
Yanhang Zhang
Shiyun Lin
Junxian Zhu
92
22
0
19 Oct 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for
  High-Dimensional Outlier Detection
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
HanQin Cai
Jialin Liu
W. Yin
121
42
0
11 Oct 2021
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization
  Approach
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
Dimitris Bertsimas
Ryan Cory-Wright
Nicholas A. G. Johnson
73
13
0
26 Sep 2021
Fast Robust Tensor Principal Component Analysis via Fiber CUR
  Decomposition
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
HanQin Cai
Zehan Chao
Longxiu Huang
Deanna Needell
62
17
0
23 Aug 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
  Optimization
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
Jian-Feng Cai
Jingyang Li
Dong Xia
150
31
0
16 Mar 2021
Robust CUR Decomposition: Theory and Imaging Applications
Robust CUR Decomposition: Theory and Imaging Applications
HanQin Cai
Keaton Hamm
Longxiu Huang
Deanna Needell
81
43
0
05 Jan 2021
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low
  Rank Estimation
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
HanQin Cai
Keaton Hamm
Longxiu Huang
Jiaqi Li
Tao Wang
71
44
0
14 Oct 2020
Fast algorithms for robust principal component analysis with an upper
  bound on the rank
Fast algorithms for robust principal component analysis with an upper bound on the rank
Ningyu Sha
Lei Shi
Ming Yan
28
4
0
18 Aug 2020
Compressed sensing of low-rank plus sparse matrices
Compressed sensing of low-rank plus sparse matrices
Jared Tanner
Simon Vary
38
16
0
18 Jul 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise,
  Outliers, and Missing Data
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Yuxin Chen
Jianqing Fan
Cong Ma
Yuling Yan
96
52
0
15 Jan 2020
Accelerated Structured Alternating Projections for Robust Spectrally
  Sparse Signal Recovery
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
HanQin Cai
Jian-Feng Cai
Tianming Wang
Guojian Yin
63
3
0
13 Oct 2019
1