Rank-Sparsity Incoherence for Matrix Decomposition

11 June 2009

Sujay Sanghavi

Papers citing "Rank-Sparsity Incoherence for Matrix Decomposition"

26 / 276 papers shown

Title
Online Robust Subspace Tracking from Partial Information Jun He Laura Balzano John C. S. Lui 66 113 0 18 Sep 2011
Learning the Dependence Graph of Time Series with Latent Factors A. Jalali Sujay Sanghavi CML 57 44 0 09 Jun 2011
Finding Dense Clusters via "Low Rank + Sparse" Decomposition Samet Oymak B. Hassibi GNN 42 57 0 27 Apr 2011
Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal S. Negahban Martin J. Wainwright 62 242 0 25 Apr 2011
Clustering Partially Observed Graphs via Convex Optimization Yudong Chen A. Jalali Sujay Sanghavi Huan Xu 53 178 0 25 Apr 2011
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions Xiaodong Li 73 179 0 06 Apr 2011
Low-rank Matrix Recovery from Errors and Erasures Yudong Chen A. Jalali Sujay Sanghavi C. Caramanis 58 166 0 03 Apr 2011
Sparse Bayesian Methods for Low-Rank Matrix Estimation S. D. Babacan M. Luessi Rafael Molina Aggelos K. Katsaggelos CML 89 285 0 25 Feb 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions Alekh Agarwal S. Negahban Martin J. Wainwright 62 432 0 23 Feb 2011
Matrix completion with column manipulation: Near-optimal sample-robustness-rank tradeoffs Yudong Chen Huan Xu C. Caramanis Sujay Sanghavi 52 30 0 10 Feb 2011
Exact recoverability from dense corrupted observations via $L_1$ minimization Nam H. Nguyen T. Tran 52 117 0 07 Feb 2011
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers Gilad Lerman Teng Zhang 48 25 0 18 Dec 2010
TILT: Transform Invariant Low-rank Textures Zhengdong Zhang Arvind Ganesh Xiao Liang Yi Ma 61 374 0 15 Dec 2010
Low-Rank Structure Learning via Log-Sum Heuristic Recovery Yue Deng Qionghai Dai Risheng Liu Zengke Zhang Sanqing Hu 47 120 0 09 Dec 2010
Two Proposals for Robust PCA using Semidefinite Programming Michael B. McCoy J. Tropp 54 162 0 06 Dec 2010
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 45 1,336 0 03 Dec 2010
Robust Matrix Decomposition with Outliers Daniel J. Hsu Sham Kakade Tong Zhang 60 24 0 05 Nov 2010
Robust PCA via Outlier Pursuit Huan Xu C. Caramanis Sujay Sanghavi 50 765 0 20 Oct 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 90 1,372 0 13 Oct 2010
Real-time Robust Principal Components' Pursuit Chenlu Qiu Namrata Vaswani 56 74 0 04 Oct 2010
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 114 508 0 06 Aug 2010
On the Subspace of Image Gradient Orientations Georgios Tzimiropoulos S. Zafeiriou 66 3 0 16 May 2010
Principal Component Analysis with Contaminated Data: The High Dimensional Case Huan Xu C. Caramanis Shie Mannor 40 57 0 24 Feb 2010
Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions D. Goldfarb Shiqian Ma K. Scheinberg 38 274 0 23 Dec 2009
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion Raghunandan H. Keshavan Sewoong Oh 65 392 0 27 Oct 2009
Guaranteed Rank Minimization via Singular Value Projection Raghu Meka Prateek Jain Inderjit S. Dhillon 62 549 0 30 Sep 2009