Sparse recovery from extreme eigenvalues deviation inequalities
Work
Year: 2018
Type: article
Abstract: This article provides a new toolbox to derive sparse recovery guarantees from small deviations on extreme singular values or extreme eigenvalues obtained in Random Matrix Theory. This work is based on... more
Source: ESAIM Probability and Statistics
Authors Sandrine Dallaporta, Yohann de Castro
Institutions Center for MathematicaL studies and their Applications, CERMICS, Laboratoire de Mathématiques d'Orsay
Cites: 56
Cited by: 1
Related to: 10
FWCI: 0.177
Citation percentile (by year/subfield): 36.45
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: green