Corrupted Sensing: Novel Guarantees for Separating Structured Signals

11 May 2013

Papers citing "Corrupted Sensing: Novel Guarantees for Separating Structured Signals"

11 / 11 papers shown

Title
On Robust Recovery of Signals from Indirect Observations Yannis Bekri A. Juditsky A. Nemirovski 51 2 0 12 Sep 2023
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 139 25 0 23 Oct 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 140 219 0 23 Jan 2016
Signal Recovery on Incoherent Manifolds Chinmay Hegde Richard G. Baraniuk 57 44 0 08 Feb 2012
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions Xiaodong Li 105 179 0 06 Apr 2011
Exact recoverability from dense corrupted observations via $L_1$ minimization Nam H. Nguyen T. Tran 82 117 0 07 Feb 2011
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 161 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
A note on the group lasso and a sparse group lasso J. Friedman Trevor Hastie Robert Tibshirani 179 836 0 05 Jan 2010
Rank-Sparsity Incoherence for Matrix Decomposition V. Chandrasekaran Sujay Sanghavi P. Parrilo A. Willsky CML 186 1,111 0 11 Jun 2009
$On Recovery of Sparse Signals via $\ell_1$ Minimization$ On Recovery of Sparse Signals via $\ell_1$ Minimization T. Cai Guangwu Xu Jun Zhang 96 155 0 01 May 2008