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Rank-Sparsity Incoherence for Matrix Decomposition

Rank-Sparsity Incoherence for Matrix Decomposition

11 June 2009
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
    CML
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Papers citing "Rank-Sparsity Incoherence for Matrix Decomposition"

50 / 276 papers shown
Title
Convex Total Least Squares
Convex Total Least Squares
Dmitry Malioutov
N. Slavov
34
11
0
01 Jun 2014
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Cun Mu
Yuqian Zhang
John N. Wright
D. Goldfarb
33
75
0
29 Mar 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse
  Optimization and Noisy Matrix Decomposition
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition
Hanie Sedghi
Anima Anandkumar
E. Jonckheere
54
13
0
20 Feb 2014
Universal Matrix Completion
Universal Matrix Completion
Srinadh Bhojanapalli
Prateek Jain
41
102
0
10 Feb 2014
Near-Optimal Joint Object Matching via Convex Relaxation
Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen
Leonidas J. Guibas
Qi-Xing Huang
39
141
0
06 Feb 2014
Statistical-Computational Tradeoffs in Planted Problems and Submatrix
  Localization with a Growing Number of Clusters and Submatrices
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
Yudong Chen
Jiaming Xu
65
213
0
06 Feb 2014
Low-Rank Modeling and Its Applications in Image Analysis
Low-Rank Modeling and Its Applications in Image Analysis
Xiaowei Zhou
Can Yang
Hongyu Zhao
Weichuan Yu
55
179
0
15 Jan 2014
The Squared-Error of Generalized LASSO: A Precise Analysis
The Squared-Error of Generalized LASSO: A Precise Analysis
Samet Oymak
Christos Thrampoulidis
B. Hassibi
39
131
0
04 Nov 2013
Identifying Influential Entries in a Matrix
Abhisek Kundu
S. Nambirajan
P. Drineas
41
2
0
14 Oct 2013
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and
  Trade-offs
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs
Jiaming Xu
Rui Wu
Kai Zhu
Bruce Hajek
R. Srikant
Lei Ying
68
44
0
01 Oct 2013
Incoherence-Optimal Matrix Completion
Incoherence-Optimal Matrix Completion
Yudong Chen
52
205
0
01 Oct 2013
High-dimensional Joint Sparsity Random Effects Model for Multi-task
  Learning
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning
Krishnakumar Balasubramanian
Kai Yu
Tong Zhang
47
3
0
26 Sep 2013
Practical Matrix Completion and Corruption Recovery using Proximal
  Alternating Robust Subspace Minimization
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization
Yu Wang
C. Lee
L. Cheong
Kim-Chuan Toh
34
22
0
06 Sep 2013
Unmixing Incoherent Structures of Big Data by Randomized or Greedy
  Decomposition
Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition
Dinesh Manocha
Dacheng Tao
52
7
0
02 Sep 2013
Automated Defect Localization via Low Rank Plus Outlier Modeling of
  Propagating Wavefield Data
Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data
S. Gonella
Jarvis Haupt
35
5
0
19 Jul 2013
Toward Guaranteed Illumination Models for Non-Convex Objects
Toward Guaranteed Illumination Models for Non-Convex Objects
Yuqian Zhang
Cun Mu
Han-Wen Kuo
John N. Wright
31
10
0
04 Jul 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by
  optimal, data-driven singular value shrinkage
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
R. Nadakuditi
46
162
0
25 Jun 2013
Completing Any Low-rank Matrix, Provably
Completing Any Low-rank Matrix, Provably
Yudong Chen
Srinadh Bhojanapalli
Sujay Sanghavi
Rachel A. Ward
58
116
0
12 Jun 2013
Iterative Grassmannian Optimization for Robust Image Alignment
Iterative Grassmannian Optimization for Robust Image Alignment
Jun He
Dejiao Zhang
Laura Balzano
Tao Tao
36
59
0
03 Jun 2013
Proximal Markov chain Monte Carlo algorithms
Proximal Markov chain Monte Carlo algorithms
Marcelo Pereyra
41
177
0
02 Jun 2013
Adaptive estimation of the copula correlation matrix for semiparametric
  elliptical copulas
Adaptive estimation of the copula correlation matrix for semiparametric elliptical copulas
M. Wegkamp
Yue Zhao
31
46
0
28 May 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
Rina Foygel
Lester W. Mackey
52
117
0
11 May 2013
Robust Spectral Compressed Sensing via Structured Matrix Completion
Robust Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen
Yuejie Chi
41
268
0
30 Apr 2013
Linear models based on noisy data and the Frisch scheme
Linear models based on noisy data and the Frisch scheme
L. Ning
T. Georgiou
Allen Tannenbaum
Stephen P. Boyd
57
26
0
14 Apr 2013
Detecting Overlapping Temporal Community Structure in Time-Evolving
  Networks
Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
Yudong Chen
V. Kawadia
Rahul Urgaonkar
AI4TS
38
29
0
28 Mar 2013
Breaking the Small Cluster Barrier of Graph Clustering
Breaking the Small Cluster Barrier of Graph Clustering
Nir Ailon
Yudong Chen
Huan Xu
53
38
0
19 Feb 2013
An Extragradient-Based Alternating Direction Method for Convex
  Minimization
An Extragradient-Based Alternating Direction Method for Convex Minimization
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
33
47
0
27 Jan 2013
Robust High Dimensional Sparse Regression and Matching Pursuit
Robust High Dimensional Sparse Regression and Matching Pursuit
Yudong Chen
C. Caramanis
Shie Mannor
39
20
0
12 Jan 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
70
1,066
0
03 Dec 2012
Semi-blind Source Separation via Sparse Representations and Online
  Dictionary Learning
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning
Sirisha Rambhatla
Jarvis Haupt
48
12
0
03 Dec 2012
Dynamic Network Cartography
Dynamic Network Cartography
Gonzalo Mateos
K. Rajawat
49
31
0
29 Nov 2012
Algorithms and Hardness for Robust Subspace Recovery
Algorithms and Hardness for Robust Subspace Recovery
Moritz Hardt
Ankur Moitra
OOD
34
115
0
05 Nov 2012
High-Dimensional Covariance Decomposition into Sparse Markov and
  Independence Models
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
Majid Janzamin
Anima Anandkumar
38
12
0
05 Nov 2012
Discussion: Latent variable graphical model selection via convex
  optimization
Discussion: Latent variable graphical model selection via convex optimization
Emmanuel J. Candés
Mahdi Soltanolkotabi
44
39
0
05 Nov 2012
Discussion: Latent variable graphical model selection via convex
  optimization
Discussion: Latent variable graphical model selection via convex optimization
Christophe Giraud
Alexandre B. Tsybakov
36
8
0
05 Nov 2012
Discussion: Latent variable graphical model selection via convex
  optimization
Discussion: Latent variable graphical model selection via convex optimization
Martin J. Wainwright
48
8
0
05 Nov 2012
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
Learning Topic Models and Latent Bayesian Networks Under Expansion
  Constraints
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Anima Anandkumar
Daniel J. Hsu
Adel Javanmard
Sham Kakade
52
8
0
24 Sep 2012
Scaling Multiple-Source Entity Resolution using Statistically Efficient
  Transfer Learning
Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning
S. Negahban
Benjamin I. P. Rubinstein
J. Gemmell
50
14
0
09 Aug 2012
Non-Convex Rank Minimization via an Empirical Bayesian Approach
Non-Convex Rank Minimization via an Empirical Bayesian Approach
David Wipf
57
42
0
10 Jul 2012
High-Dimensional Covariance Decomposition into Sparse Markov and
  Independence Domains
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains
Majid Janzamin
A. Anandkumar
26
3
0
27 Jun 2012
Estimation of Simultaneously Sparse and Low Rank Matrices
Estimation of Simultaneously Sparse and Low Rank Matrices
E. Richard
Pierre-André Savalle
Nicolas Vayatis
39
202
0
27 Jun 2012
Sparse Trace Norm Regularization
Sparse Trace Norm Regularization
Jianhui Chen
Jieping Ye
42
14
0
02 Jun 2012
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to
  Unveiling Traffic Anomalies
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies
Morteza Mardani
Gonzalo Mateos
G. Giannakis
105
95
0
30 Apr 2012
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and
  Ellipsoid Fitting
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting
J. Saunderson
V. Chandrasekaran
P. Parrilo
A. Willsky
59
79
0
05 Apr 2012
In-network Sparsity-regularized Rank Minimization: Algorithms and
  Applications
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications
Morteza Mardani
Gonzalo Mateos
G. Giannakis
35
76
0
07 Mar 2012
Robust computation of linear models by convex relaxation
Robust computation of linear models by convex relaxation
Gilad Lerman
Michael B. McCoy
J. Tropp
Teng Zhang
54
160
0
18 Feb 2012
A Novel M-Estimator for Robust PCA
A Novel M-Estimator for Robust PCA
Teng Zhang
Gilad Lerman
50
131
0
20 Dec 2011
Strongly Convex Programming for Exact Matrix Completion and Robust
  Principal Component Analysis
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
Hui Zhang
Jian-Feng Cai
Lizhi Cheng
Jubo Zhu
47
30
0
16 Dec 2011
Robust PCA as Bilinear Decomposition with Outlier-Sparsity
  Regularization
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization
Gonzalo Mateos
G. Giannakis
47
106
0
08 Nov 2011
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