A Geometric View on Constrained M-Estimators

26 June 2015

Papers citing "A Geometric View on Constrained M-Estimators"

24 / 24 papers shown

Title
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 194 223 0 23 Jan 2016
Exponential Family Matrix Completion under Structural Constraints Suriya Gunasekar Pradeep Ravikumar Joydeep Ghosh 43 40 0 15 Sep 2015
Estimation with Norm Regularization A. Banerjee Sheng Chen F. Fazayeli V. Sivakumar 73 63 0 09 May 2015
The generalized Lasso with non-linear observations Y. Plan Roman Vershynin 211 200 0 13 Feb 2015
A totally unimodular view of structured sparsity Marwa El Halabi Volkan Cevher 76 30 0 07 Nov 2014
Estimation in high dimensions: a geometric perspective Roman Vershynin 154 134 0 20 May 2014
Convex recovery of a structured signal from independent random linear measurements J. Tropp 117 177 0 05 May 2014
High-dimensional estimation with geometric constraints Y. Plan Roman Vershynin E. Yudovina 174 144 0 14 Apr 2014
A new perspective on least squares under convex constraint S. Chatterjee 131 117 0 04 Feb 2014
Learning without Concentration S. Mendelson 246 334 0 01 Jan 2014
Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information Samet Oymak Christos Thrampoulidis B. Hassibi 118 24 0 02 Dec 2013
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 155 132 0 04 Nov 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals Rina Foygel Lester W. Mackey 103 117 0 11 May 2013
Guarantees of Total Variation Minimization for Signal Recovery Jian-Feng Cai Weiyu Xu 163 45 0 28 Jan 2013
Computational and Statistical Tradeoffs via Convex Relaxation V. Chandrasekaran Michael I. Jordan 138 220 0 05 Nov 2012
1-Bit Matrix Completion Mark A. Davenport Y. Plan E. Berg Mary Wootters 221 353 0 17 Sep 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 161 63 0 21 Apr 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 256 457 0 06 Feb 2012
Learning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach 147 478 0 28 Nov 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 218 1,342 0 03 Dec 2010
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
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade Ohad Shamir Karthik Sindharan Ambuj Tewari 241 77 0 31 Oct 2009
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 228 575 0 11 Oct 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 562 2,531 0 07 Jan 2008