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

Accuracy guaranties for ℓ1\ell_1ℓ1​ recovery of block-sparse signals

10 November 2011
A. Juditsky
Fatma Kılınç Karzan
A. Nemirovski
Boris Polyak
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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
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
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
37
43
0
30 Dec 2014
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
46
1,123
0
03 Mar 2013
On unified view of nullspace-type conditions for recoveries associated
  with general sparsity structures
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures
A. Juditsky
Fatma Kılınç Karzan
A. Nemirovski
66
13
0
04 Jul 2012
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
125
379
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 ℓ1\ell_1ℓ1​ Minimization
A. Juditsky
A. Nemirovski
106
142
0
16 Sep 2008
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