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Tight conditions for consistent variable selection in high dimensional
  nonparametric regression

Tight conditions for consistent variable selection in high dimensional nonparametric regression

17 February 2011
L. Comminges
A. Dalalyan
ArXivPDFHTML

Papers citing "Tight conditions for consistent variable selection in high dimensional nonparametric regression"

13 / 13 papers shown
Title
Bayes and empirical-Bayes multiplicity adjustment in the
  variable-selection problem
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
James G. Scott
J. Berger
127
581
0
10 Nov 2010
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
219
957
0
02 Oct 2010
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
239
382
0
11 Jul 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
294
3,543
0
25 Feb 2010
High-Dimensional Non-Linear Variable Selection through Hierarchical
  Kernel Learning
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Francis R. Bach
BDL
166
74
0
04 Sep 2009
The composite absolute penalties family for grouped and hierarchical
  variable selection
The composite absolute penalties family for grouped and hierarchical variable selection
P. Zhao
Guilherme V. Rocha
Bin Yu
173
672
0
02 Sep 2009
Dimension reduction and variable selection in case control studies via
  regularized likelihood optimization
Dimension reduction and variable selection in case control studies via regularized likelihood optimization
F. Bunea
Adrian Barbu
87
21
0
13 May 2009
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
169
606
0
22 Apr 2009
Feature selection by Higher Criticism thresholding: optimal phase
  diagram
Feature selection by Higher Criticism thresholding: optimal phase diagram
D. Donoho
Jiashun Jin
100
86
0
11 Dec 2008
Selection of variables and dimension reduction in high-dimensional
  non-parametric regression
Selection of variables and dimension reduction in high-dimensional non-parametric regression
Karine Bertin
Guillaume Lecué
75
50
0
07 Nov 2008
Support union recovery in high-dimensional multivariate regression
Support union recovery in high-dimensional multivariate regression
G. Obozinski
Martin J. Wainwright
Michael I. Jordan
199
323
0
05 Aug 2008
Rodeo: Sparse, greedy nonparametric regression
Rodeo: Sparse, greedy nonparametric regression
John D. Lafferty
Larry A. Wasserman
142
137
0
12 Mar 2008
Hierarchical selection of variables in sparse high-dimensional
  regression
Hierarchical selection of variables in sparse high-dimensional regression
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
187
38
0
08 Jan 2008
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