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0906.2220
Cited By
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
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Universal Matrix Completion
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Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen
Leonidas J. Guibas
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Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
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06 Feb 2014
Low-Rank Modeling and Its Applications in Image Analysis
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15 Jan 2014
The Squared-Error of Generalized LASSO: A Precise Analysis
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04 Nov 2013
Identifying Influential Entries in a Matrix
Abhisek Kundu
S. Nambirajan
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14 Oct 2013
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
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01 Oct 2013
Incoherence-Optimal Matrix Completion
Yudong Chen
52
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01 Oct 2013
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning
Krishnakumar Balasubramanian
Kai Yu
Tong Zhang
47
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26 Sep 2013
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization
Yu Wang
C. Lee
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Kim-Chuan Toh
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06 Sep 2013
Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition
Dinesh Manocha
Dacheng Tao
52
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02 Sep 2013
Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data
S. Gonella
Jarvis Haupt
35
5
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19 Jul 2013
Toward Guaranteed Illumination Models for Non-Convex Objects
Yuqian Zhang
Cun Mu
Han-Wen Kuo
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04 Jul 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
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Completing Any Low-rank Matrix, Provably
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Srinadh Bhojanapalli
Sujay Sanghavi
Rachel A. Ward
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12 Jun 2013
Iterative Grassmannian Optimization for Robust Image Alignment
Jun He
Dejiao Zhang
Laura Balzano
Tao Tao
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03 Jun 2013
Proximal Markov chain Monte Carlo algorithms
Marcelo Pereyra
41
177
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02 Jun 2013
Adaptive estimation of the copula correlation matrix for semiparametric elliptical copulas
M. Wegkamp
Yue Zhao
31
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28 May 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
Rina Foygel
Lester W. Mackey
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11 May 2013
Robust Spectral Compressed Sensing via Structured Matrix Completion
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Yuejie Chi
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Linear models based on noisy data and the Frisch scheme
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T. Georgiou
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Stephen P. Boyd
57
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Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
Yudong Chen
V. Kawadia
Rahul Urgaonkar
AI4TS
38
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28 Mar 2013
Breaking the Small Cluster Barrier of Graph Clustering
Nir Ailon
Yudong Chen
Huan Xu
53
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19 Feb 2013
An Extragradient-Based Alternating Direction Method for Convex Minimization
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
33
47
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27 Jan 2013
Robust High Dimensional Sparse Regression and Matching Pursuit
Yudong Chen
C. Caramanis
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39
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12 Jan 2013
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
70
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Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning
Sirisha Rambhatla
Jarvis Haupt
48
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Dynamic Network Cartography
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K. Rajawat
49
31
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29 Nov 2012
Algorithms and Hardness for Robust Subspace Recovery
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Ankur Moitra
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High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
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Anima Anandkumar
38
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Discussion: Latent variable graphical model selection via convex optimization
Emmanuel J. Candés
Mahdi Soltanolkotabi
44
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Discussion: Latent variable graphical model selection via convex optimization
Christophe Giraud
Alexandre B. Tsybakov
36
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05 Nov 2012
Discussion: Latent variable graphical model selection via convex optimization
Martin J. Wainwright
48
8
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05 Nov 2012
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
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11 Oct 2012
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Anima Anandkumar
Daniel J. Hsu
Adel Javanmard
Sham Kakade
52
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24 Sep 2012
Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning
S. Negahban
Benjamin I. P. Rubinstein
J. Gemmell
50
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09 Aug 2012
Non-Convex Rank Minimization via an Empirical Bayesian Approach
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10 Jul 2012
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains
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A. Anandkumar
26
3
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27 Jun 2012
Estimation of Simultaneously Sparse and Low Rank Matrices
E. Richard
Pierre-André Savalle
Nicolas Vayatis
39
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27 Jun 2012
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
Morteza Mardani
Gonzalo Mateos
G. Giannakis
105
95
0
30 Apr 2012
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
Morteza Mardani
Gonzalo Mateos
G. Giannakis
35
76
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07 Mar 2012
Robust computation of linear models by convex relaxation
Gilad Lerman
Michael B. McCoy
J. Tropp
Teng Zhang
54
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18 Feb 2012
A Novel M-Estimator for Robust PCA
Teng Zhang
Gilad Lerman
50
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20 Dec 2011
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
Hui Zhang
Jian-Feng Cai
Lizhi Cheng
Jubo Zhu
47
30
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16 Dec 2011
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization
Gonzalo Mateos
G. Giannakis
47
106
0
08 Nov 2011
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