The generalized Lasso with non-linear observations

13 February 2015

Roman Vershynin

Papers citing "The generalized Lasso with non-linear observations"

26 / 26 papers shown

Title
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 55 2 0 20 Feb 2023
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 137 25 0 23 Oct 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 254 45 0 10 Feb 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 140 219 0 23 Jan 2016
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 65 116 0 06 Jun 2015
Convex recovery of a structured signal from independent random linear measurements J. Tropp 73 176 0 05 May 2014
High-dimensional estimation with geometric constraints Y. Plan Roman Vershynin E. Yudovina 132 144 0 14 Apr 2014
Simple Error Bounds for Regularized Noisy Linear Inverse Problems Christos Thrampoulidis Samet Oymak B. Hassibi 69 23 0 25 Jan 2014
Learning without Concentration S. Mendelson 170 333 0 01 Jan 2014
Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information Samet Oymak Christos Thrampoulidis B. Hassibi 52 24 0 02 Dec 2013
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 81 131 0 04 Nov 2013
Learning subgaussian classes : Upper and minimax bounds Guillaume Lecué S. Mendelson 75 86 0 21 May 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 210 658 0 30 Jan 2013
1-Bit Matrix Completion Mark A. Davenport Y. Plan E. Berg Mary Wootters 148 349 0 17 Sep 2012
Statistical inference in compound functional models A. Dalalyan Yu. I. Ingster Alexandre B. Tsybakov 70 25 0 31 Aug 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 180 457 0 06 Feb 2012
Trace Lasso: a trace norm regularization for correlated designs Edouard Grave G. Obozinski Francis R. Bach 86 196 0 09 Sep 2011
Sparse single-index model Pierre Alquier Gérard Biau 103 91 0 17 Jan 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 158 1,338 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 312 1,377 0 13 Oct 2010
Manifold-Based Signal Recovery and Parameter Estimation from Compressive Measurements M. Wakin 63 47 0 05 Feb 2010
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 226 729 0 05 Oct 2009
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing D. Donoho Jared Tanner 82 462 0 14 Jun 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 365 2,527 0 07 Jan 2008
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 253 214 0 02 Jan 2008
Aggregation for Gaussian regression F. Bunea Alexandre B. Tsybakov M. Wegkamp 342 361 0 19 Oct 2007