Estimation of high-dimensional low-rank matrices

29 December 2009

Papers citing "Estimation of high-dimensional low-rank matrices"

26 / 176 papers shown

Title
Sparse Trace Norm Regularization Jianhui Chen Jieping Ye 42 14 0 02 Jun 2012
Low Rank Estimation of Similarities on Graphs V. Koltchinskii P. Rangel 46 5 0 09 May 2012
Noisy low-rank matrix completion with general sampling distribution Olga Klopp 52 203 0 01 Mar 2012
High-dimensional covariance matrix estimation with missing observations Karim Lounici 84 182 0 12 Jan 2012
High dimensional matrix estimation with unknown variance of the noise Olga Klopp Stéphane Gaïffas 61 20 0 13 Dec 2011
Optimal spectral norm rates for noisy low-rank matrix completion Karim Lounici 44 6 0 24 Oct 2011
Joint variable and rank selection for parsimonious estimation of high-dimensional matrices F. Bunea Yiyuan She M. Wegkamp 57 112 0 17 Oct 2011
High-dimensional regression with unknown variance Christophe Giraud S. Huet Nicolas Verzélen 51 62 0 26 Sep 2011
Accuracy of empirical projections of high-dimensional Gaussian matrices Angelika Rohde 84 3 0 27 Jul 2011
A pseudo-RIP for multivariate regression Christophe Giraud 43 2 0 28 Jun 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
Rank penalized estimators for high-dimensional matrices Olga Klopp 43 50 0 07 Apr 2011
Universal low-rank matrix recovery from Pauli measurements Yi-Kai Liu 59 127 0 14 Mar 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
Shaping Level Sets with Submodular Functions Francis R. Bach 77 25 0 07 Dec 2010
Nuclear norm penalization and optimal rates for noisy low rank matrix completion V. Koltchinskii Alexandre B. Tsybakov Karim Lounici 42 659 0 29 Nov 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 90 1,370 0 13 Oct 2010
Low rank Multivariate regression Christophe Giraud 63 42 0 27 Sep 2010
Von Neumann Entropy Penalization and Low Rank Matrix Estimation V. Koltchinskii 57 100 0 13 Sep 2010
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise S. Negahban Martin J. Wainwright 65 520 0 10 Sep 2010
Sharp oracle inequalities for the prediction of a high-dimensional matrix Stéphane Gaïffas Guillaume Lecué 59 27 0 28 Aug 2010
Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise A. Shabalin A. Nobel 73 161 0 23 Jul 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 133 380 0 11 Jul 2010
Optimal selection of reduced rank estimators of high-dimensional matrices F. Bunea Yiyuan She M. Wegkamp 81 240 0 18 Apr 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 81 566 0 27 Dec 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 185 292 0 09 Mar 2009