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Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion

Nuclear norm penalization and optimal rates for noisy low rank matrix completion

29 November 2010
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
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Papers citing "Nuclear norm penalization and optimal rates for noisy low rank matrix completion"

15 / 115 papers shown
Title
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
54
162
0
25 Jun 2013
Matrix Completion via Max-Norm Constrained Optimization
Matrix Completion via Max-Norm Constrained Optimization
T. Tony Cai
Wenxin Zhou
44
111
0
02 Mar 2013
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
86
520
0
06 Dec 2012
Calibrated Elastic Regularization in Matrix Completion
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun
Cun-Hui Zhang
48
23
0
09 Nov 2012
On unified view of nullspace-type conditions for recoveries associated
  with general sparsity structures
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures
A. Juditsky
Fatma Kılınç Karzan
A. Nemirovski
74
13
0
04 Jul 2012
Estimation of Simultaneously Sparse and Low Rank Matrices
Estimation of Simultaneously Sparse and Low Rank Matrices
E. Richard
Pierre-André Savalle
Nicolas Vayatis
47
203
0
27 Jun 2012
Low Rank Estimation of Similarities on Graphs
Low Rank Estimation of Similarities on Graphs
V. Koltchinskii
P. Rangel
46
5
0
09 May 2012
Weakly decomposable regularization penalties and structured sparsity
Weakly decomposable regularization penalties and structured sparsity
Sara van de Geer
87
63
0
21 Apr 2012
Noisy low-rank matrix completion with general sampling distribution
Noisy low-rank matrix completion with general sampling distribution
Olga Klopp
60
203
0
01 Mar 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
95
182
0
12 Jan 2012
Sparse Estimation by Exponential Weighting
Sparse Estimation by Exponential Weighting
Philippe Rigollet
Alexandre B. Tsybakov
88
121
0
25 Aug 2011
A pseudo-RIP for multivariate regression
A pseudo-RIP for multivariate regression
Christophe Giraud
51
2
0
28 Jun 2011
Universal low-rank matrix recovery from Pauli measurements
Universal low-rank matrix recovery from Pauli measurements
Yi-Kai Liu
65
127
0
14 Mar 2011
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction
Rina Foygel
Nathan Srebro
55
74
0
18 Feb 2011
Sharp oracle inequalities for the prediction of a high-dimensional
  matrix
Sharp oracle inequalities for the prediction of a high-dimensional matrix
Stéphane Gaïffas
Guillaume Lecué
65
27
0
28 Aug 2010
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