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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
The Emergence of Organizing Structure in Conceptual Representation
The Emergence of Organizing Structure in Conceptual Representation
Brenden M. Lake
Neil D. Lawrence
J. Tenenbaum
AI4CE
27
17
0
28 Nov 2016
Robust and Scalable Column/Row Sampling from Corrupted Big Data
Robust and Scalable Column/Row Sampling from Corrupted Big Data
M. Rahmani
George Atia
18
9
0
18 Nov 2016
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly
  Accelerated Dynamic Imaging
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
S. Ravishankar
Brian E. Moore
R. Nadakuditi
Jeffrey A. Fessler
25
69
0
13 Nov 2016
Learning from Untrusted Data
Learning from Untrusted Data
Moses Charikar
Jacob Steinhardt
Gregory Valiant
FedML
OOD
21
292
0
07 Nov 2016
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
40
92
0
19 Sep 2016
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
M. Rahmani
George Atia
35
134
0
15 Sep 2016
Functional Data Analysis by Matrix Completion
Functional Data Analysis by Matrix Completion
Marie-Hélène Descary
V. Panaretos
15
30
0
03 Sep 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are
  Correlated
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata Vaswani
Han Guo
28
25
0
15 Aug 2016
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Mohammadreza Soltani
C. Hegde
27
29
0
03 Aug 2016
Nearly-optimal Robust Matrix Completion
Nearly-optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri
Kartik Gupta
Prateek Jain
41
100
0
23 Jun 2016
Low-rank Optimization with Convex Constraints
Low-rank Optimization with Convex Constraints
Christian Grussler
Anders Rantzer
Pontus Giselsson
9
52
0
06 Jun 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
C. Caramanis
24
266
0
25 May 2016
Improved Sparse Low-Rank Matrix Estimation
Improved Sparse Low-Rank Matrix Estimation
Ankit Parekh
I. Selesnick
72
46
0
29 Apr 2016
Agnostic Estimation of Mean and Covariance
Agnostic Estimation of Mean and Covariance
Kevin A. Lai
Anup B. Rao
Santosh Vempala
25
344
0
24 Apr 2016
How Does the Low-Rank Matrix Decomposition Help Internal and External
  Learnings for Super-Resolution
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution
Shuang Wang
Bo Yue
Xuefeng Liang
Peiyuan Ji
L. Jiao
SupR
42
7
0
06 Apr 2016
Robust Low-Rank Matrix Estimation
Robust Low-Rank Matrix Estimation
A. Elsener
Sara van de Geer
27
44
0
30 Mar 2016
Community Recovery in Graphs with Locality
Community Recovery in Graphs with Locality
Yuxin Chen
G. Kamath
Changho Suh
David Tse
22
31
0
11 Feb 2016
Interpreting Latent Variables in Factor Models via Convex Optimization
Interpreting Latent Variables in Factor Models via Convex Optimization
Armeen Taeb
V. Chandrasekaran
19
9
0
04 Jan 2016
Latent variable model selection for Gaussian conditional random fields
Latent variable model selection for Gaussian conditional random fields
Benjamin Frot
L. Jostins
G. McVean
CML
24
10
0
20 Dec 2015
Pseudo-Bayesian Robust PCA: Algorithms and Analyses
Pseudo-Bayesian Robust PCA: Algorithms and Analyses
Tae-Hyun Oh
Y. Matsushita
In So Kweon
David Wipf
13
1
0
07 Dec 2015
Universality laws for randomized dimension reduction, with applications
Universality laws for randomized dimension reduction, with applications
Samet Oymak
J. Tropp
52
109
0
30 Nov 2015
Regularization and Bayesian Learning in Dynamical Systems: Past, Present
  and Future
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
A. Chiuso
38
56
0
04 Nov 2015
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
39
330
0
04 Nov 2015
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse
  Perturbations
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Anima Anandkumar
Prateek Jain
Yang Shi
U. Niranjan
14
83
0
15 Oct 2015
On the Complexity of Robust PCA and $\ell_1$-norm Low-Rank Matrix
  Approximation
On the Complexity of Robust PCA and ℓ1\ell_1ℓ1​-norm Low-Rank Matrix Approximation
Nicolas Gillis
S. Vavasis
OOD
20
80
0
30 Sep 2015
Robust Reduced Rank Regression
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
27
58
0
14 Sep 2015
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
28
317
0
10 Sep 2015
Value function approximation via low-rank models
Value function approximation via low-rank models
H. Ong
OffRL
44
20
0
31 Aug 2015
Joint community and anomaly tracking in dynamic networks
Joint community and anomaly tracking in dynamic networks
Brian Baingana
G. Giannakis
21
30
0
25 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
M. Rahmani
George Atia
30
57
0
21 May 2015
Information Recovery from Pairwise Measurements
Information Recovery from Pairwise Measurements
Yuxin Chen
Changho Suh
Andrea J. Goldsmith
39
4
0
06 Apr 2015
Decentralized learning for wireless communications and networking
Decentralized learning for wireless communications and networking
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
43
88
0
30 Mar 2015
Efficient Online Minimization for Low-Rank Subspace Clustering
Efficient Online Minimization for Low-Rank Subspace Clustering
Jie Shen
P. Li
Huan Xu
33
2
0
28 Mar 2015
Online Matrix Completion and Online Robust PCA
Online Matrix Completion and Online Robust PCA
Brian Lois
Namrata Vaswani
39
44
0
11 Mar 2015
Multigrid with rough coefficients and Multiresolution operator
  decomposition from Hierarchical Information Games
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games
H. Owhadi
18
168
0
11 Mar 2015
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and
  Applications
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Tae-Hyun Oh
Yu-Wing Tai
Jean-Charles Bazin
Hyeongwoo Kim
In So Kweon
34
222
0
04 Mar 2015
Matrix Completion with Noisy Entries and Outliers
Matrix Completion with Noisy Entries and Outliers
Raymond K. W. Wong
Thomas C. M. Lee
29
35
0
01 Mar 2015
Sparse Multivariate Factor Regression
Sparse Multivariate Factor Regression
M. Kharratzadeh
Mark J. Coates
42
4
0
25 Feb 2015
Asymptotics of Empirical Eigen-structure for Ultra-high Dimensional
  Spiked Covariance Model
Asymptotics of Empirical Eigen-structure for Ultra-high Dimensional Spiked Covariance Model
Jianqing Fan
Weichen Wang
31
42
0
16 Feb 2015
Speeding up Permutation Testing in Neuroimaging
Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs
V. Ithapu
Qinyuan Sun
Sterling C. Johnson
Vikas Singh
26
6
0
12 Feb 2015
Provable Sparse Tensor Decomposition
Provable Sparse Tensor Decomposition
W. Sun
Junwei Lu
Han Liu
Guang Cheng
38
127
0
05 Feb 2015
High Dimensional Low Rank plus Sparse Matrix Decomposition
High Dimensional Low Rank plus Sparse Matrix Decomposition
M. Rahmani
George Atia
94
77
0
01 Feb 2015
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
32
1,137
0
07 Jan 2015
Robust Matrix Completion
Robust Matrix Completion
Olga Klopp
Karim Lounici
Alexandre B. Tsybakov
29
124
0
28 Dec 2014
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust
  Low-Rank Subspace Recovery and Clustering
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering
Jun He
Yue Zhang
35
8
0
12 Dec 2014
Relations among Some Low Rank Subspace Recovery Models
Relations among Some Low Rank Subspace Recovery Models
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
Junbin Gao
30
29
0
06 Dec 2014
Bayesian group latent factor analysis with structured sparsity
Bayesian group latent factor analysis with structured sparsity
Shiwen Zhao
Chuan Gao
S. Mukherjee
Barbara E. Engelhardt
CML
25
4
0
11 Nov 2014
Robust sketching for multiple square-root LASSO problems
Robust sketching for multiple square-root LASSO problems
Vu Pham
L. Ghaoui
Arturo Fernandez
31
17
0
30 Oct 2014
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
50
284
0
28 Oct 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
Xingguo Li
Jarvis Haupt
49
59
0
01 Jul 2014
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