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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

15 January 2020
Yuxin Chen
Jianqing Fan
Cong Ma
Yuling Yan
ArXivPDFHTML

Papers citing "Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data"

48 / 48 papers shown
Title
Alternating minimization for square root principal component pursuit
Alternating minimization for square root principal component pursuit
Shengxiang Deng
Xudong Li
Yangjing Zhang
113
0
0
31 Dec 2024
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
76
168
0
15 Dec 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy
  Blind Deconvolution under Random Designs
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs
Yuxin Chen
Jianqing Fan
B. Wang
Yuling Yan
53
16
0
04 Aug 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning
  with a Generative Model
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
76
127
0
26 May 2020
Nonconvex Low-Rank Tensor Completion from Noisy Data
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai
Gen Li
H. Vincent Poor
Yuxin Chen
91
81
0
11 Nov 2019
Low-rank matrix recovery with composite optimization: good conditioning
  and rapid convergence
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
Vasileios Charisopoulos
Yudong Chen
Damek Davis
Mateo Díaz
Lijun Ding
Dmitriy Drusvyatskiy
44
84
0
22 Apr 2019
On the convex geometry of blind deconvolution and matrix completion
On the convex geometry of blind deconvolution and matrix completion
Felix Krahmer
Dominik Stöger
35
18
0
28 Feb 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex
  Relaxation via Nonconvex Optimization
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
Yuling Yan
42
128
0
20 Feb 2019
Nonconvex Rectangular Matrix Completion via Gradient Descent without
  $\ell_{2,\infty}$ Regularization
Nonconvex Rectangular Matrix Completion via Gradient Descent without ℓ2,∞\ell_{2,\infty}ℓ2,∞​ Regularization
Ji Chen
Dekai Liu
Xiaodong Li
17
11
0
18 Jan 2019
Composite optimization for robust blind deconvolution
Composite optimization for robust blind deconvolution
Vasileios Charisopoulos
Damek Davis
Mateo Díaz
Dmitriy Drusvyatskiy
21
24
0
06 Jan 2019
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
56
421
0
25 Sep 2018
Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
46
51
0
09 Jun 2018
Gradient Descent with Random Initialization: Fast Global Convergence for
  Nonconvex Phase Retrieval
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
44
235
0
21 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review
Static and Dynamic Robust PCA and Matrix Completion: A Review
Namrata Vaswani
Praneeth Narayanamurthy
58
73
0
01 Mar 2018
Nonconvex Matrix Factorization from Rank-One Measurements
Nonconvex Matrix Factorization from Rank-One Measurements
Yuanxin Li
Cong Ma
Yuxin Chen
Yuejie Chi
42
51
0
17 Feb 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient
  Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind
  Deconvolution
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma
Kaizheng Wang
Yuejie Chi
Yuxin Chen
55
240
0
28 Nov 2017
Accelerated Alternating Projections for Robust Principal Component
  Analysis
Accelerated Alternating Projections for Robust Principal Component Analysis
HanQin Cai
Jian-Feng Cai
Ke Wei
56
67
0
15 Nov 2017
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
84
92
0
19 Sep 2016
Nearly-optimal Robust Matrix Completion
Nearly-optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri
Kartik Gupta
Prateek Jain
56
100
0
23 Jun 2016
Solving Systems of Random Quadratic Equations via Truncated Amplitude
  Flow
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
G. Wang
G. Giannakis
Yonina C. Eldar
33
362
0
26 May 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
Constantine Caramanis
47
267
0
25 May 2016
Convergence Analysis for Rectangular Matrix Completion Using
  Burer-Monteiro Factorization and Gradient Descent
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent
Qinqing Zheng
John D. Lafferty
68
160
0
23 May 2016
Fast low-rank estimation by projected gradient descent: General
  statistical and algorithmic guarantees
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
108
318
0
10 Sep 2015
Solving Random Quadratic Systems of Equations Is Nearly as Easy as
  Solving Linear Systems
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen
Emmanuel J. Candes
53
589
0
19 May 2015
Matrix Completion with Noisy Entries and Outliers
Matrix Completion with Noisy Entries and Outliers
Raymond K. W. Wong
Thomas C. M. Lee
41
35
0
01 Mar 2015
Robust Matrix Completion
Robust Matrix Completion
Olga Klopp
Karim Lounici
Alexandre B. Tsybakov
52
124
0
28 Dec 2014
Guaranteed Matrix Completion via Non-convex Factorization
Guaranteed Matrix Completion via Non-convex Factorization
Ruoyu Sun
Zhi-Quan Luo
65
452
0
28 Nov 2014
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
69
286
0
28 Oct 2014
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Emmanuel Candes
Xiaodong Li
Mahdi Soltanolkotabi
137
1,283
0
03 Jul 2014
Incoherence-Optimal Matrix Completion
Incoherence-Optimal Matrix Completion
Yudong Chen
91
205
0
01 Oct 2013
Phase Retrieval using Alternating Minimization
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
150
632
0
02 Jun 2013
Robust Spectral Compressed Sensing via Structured Matrix Completion
Robust Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen
Yuejie Chi
62
269
0
30 Apr 2013
Minimax risk of matrix denoising by singular value thresholding
Minimax risk of matrix denoising by singular value thresholding
D. Donoho
M. Gavish
60
126
0
08 Apr 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
154
1,066
0
03 Dec 2012
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
88
326
0
06 Nov 2012
Noisy low-rank matrix completion with general sampling distribution
Noisy low-rank matrix completion with general sampling distribution
Olga Klopp
84
205
0
01 Mar 2012
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
95
854
0
30 Dec 2011
Clustering Partially Observed Graphs via Convex Optimization
Clustering Partially Observed Graphs via Convex Optimization
Yudong Chen
A. Jalali
Sujay Sanghavi
Huan Xu
98
179
0
25 Apr 2011
Compressed Sensing and Matrix Completion with Constant Proportion of
  Corruptions
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions
Xiaodong Li
97
179
0
06 Apr 2011
Low-rank Matrix Recovery from Errors and Erasures
Low-rank Matrix Recovery from Errors and Erasures
Yudong Chen
A. Jalali
Sujay Sanghavi
Constantine Caramanis
88
166
0
03 Apr 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high
  dimensions
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Alekh Agarwal
S. Negahban
Martin J. Wainwright
174
432
0
23 Feb 2011
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
154
663
0
29 Nov 2010
Real-time Robust Principal Components' Pursuit
Real-time Robust Principal Components' Pursuit
Chenlu Qiu
Namrata Vaswani
72
74
0
04 Oct 2010
Restricted strong convexity and weighted matrix completion: Optimal
  bounds with noise
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S. Negahban
Martin J. Wainwright
159
521
0
10 Sep 2010
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
174
509
0
06 Aug 2010
Fast Alternating Linearization Methods for Minimizing the Sum of Two
  Convex Functions
Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions
D. Goldfarb
Shiqian Ma
K. Scheinberg
64
273
0
23 Dec 2009
Rank-Sparsity Incoherence for Matrix Decomposition
Rank-Sparsity Incoherence for Matrix Decomposition
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
CML
173
1,111
0
11 Jun 2009
Matrix Completion from a Few Entries
Matrix Completion from a Few Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
265
1,242
0
20 Jan 2009
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