$Accuracy guaranties for $\ell_1$ recovery of block-sparse signals$

Accuracy guaranties for $\ell_1$ recovery of block-sparse signals

10 November 2011

Fatma Kılınç Karzan

Papers citing "Accuracy guaranties for $\ell_1$ recovery of block-sparse signals"

6 / 6 papers shown

Title
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation Alexander Bastounis Felipe Cucker Anders C. Hansen 20 2 0 18 Dec 2023
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 39 43 0 30 Dec 2014
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 48 1,123 0 03 Mar 2013
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures A. Juditsky Fatma Kılınç Karzan A. Nemirovski 74 13 0 04 Jul 2012
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 133 378 0 11 Jul 2010
$On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization$ On Verifiable Sufficient Conditions for Sparse Signal Recovery via $\ell_1$ Minimization A. Juditsky A. Nemirovski 106 142 0 16 Sep 2008