Methods for Sparse and Low-Rank Recovery under Simplex Constraints

2 May 2016

Papers citing "Methods for Sparse and Low-Rank Recovery under Simplex Constraints"

23 / 23 papers shown

Title
A Tight Bound of Hard Thresholding Jie Shen Ping Li 68 92 0 05 May 2016
Optimal large-scale quantum state tomography with Pauli measurements Tony Cai Donggyu Kim Yazhen Wang M. Yuan Harrison H. Zhou 39 30 0 24 Mar 2016
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation Huan Gui Quanquan Gu 117 28 0 18 May 2015
Sparse recovery under weak moment assumptions Guillaume Lecué S. Mendelson 214 98 0 09 Jan 2014
Asymptotic equivalence of quantum state tomography and noisy matrix completion Yazhen Wang 83 26 0 20 Nov 2013
Sparse projections onto the simplex Anastasios Kyrillidis Stephen Becker Volkan Cevher Christoph Koch 141 95 0 07 Jun 2012
Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization M. Slawski Matthias Hein 108 186 0 04 May 2012
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems Cun-Hui Zhang Tong Zhang 206 341 0 25 Aug 2011
Scaled Sparse Linear Regression Tingni Sun Cun-Hui Zhang 206 508 0 24 Apr 2011
Rank penalized estimators for high-dimensional matrices Olga Klopp 98 50 0 07 Apr 2011
Universal low-rank matrix recovery from Pauli measurements Yi-Kai Liu 108 128 0 14 Mar 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 486 1,379 0 13 Oct 2010
Von Neumann Entropy Penalization and Low Rank Matrix Estimation V. Koltchinskii 164 101 0 13 Sep 2010
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression Jianqing Fan Shaojun Guo Ning Hao 137 292 0 29 Apr 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 344 3,570 0 25 Feb 2010
Estimation of high-dimensional low-rank matrices Angelika Rohde Alexandre B. Tsybakov 313 382 0 29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 243 571 0 27 Dec 2009
SPADES and mixture models F. Bunea Alexandre B. Tsybakov M. Wegkamp Adrian Barbu 142 63 0 14 Jan 2009
High-dimensional stochastic optimization with the generalized Dantzig estimator Karim Lounici 130 5 0 14 Nov 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 640 755 0 04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 564 2,530 0 07 Jan 2008
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 224 5,045 0 10 Nov 2007
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 424 3,773 0 28 Jun 2007