Tight conditions for consistency of variable selection in the context of high dimensionality

21 June 2011

Papers citing "Tight conditions for consistency of variable selection in the context of high dimensionality"

22 / 22 papers shown

Title
Sparsity in multiple kernel learning V. Koltchinskii M. Yuan 215 191 0 13 Nov 2012
Tight conditions for consistent variable selection in high dimensional nonparametric regression L. Comminges A. Dalalyan 109 15 0 17 Feb 2011
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem James G. Scott J. Berger 136 582 0 10 Nov 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 274 957 0 02 Oct 2010
Minimax-optimal rates for sparse additive models over kernel classes via convex programming Garvesh Raskutti Martin J. Wainwright Bin Yu 151 287 0 21 Aug 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons Nicolas Verzélen 274 153 0 03 Aug 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 287 382 0 11 Jul 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 336 3,567 0 25 Feb 2010
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 192 404 0 06 Oct 2009
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning Francis R. Bach BDL 177 74 0 04 Sep 2009
The composite absolute penalties family for grouped and hierarchical variable selection P. Zhao Guilherme V. Rocha Bin Yu 234 673 0 02 Sep 2009
Dimension reduction and variable selection in case control studies via regularized likelihood optimization F. Bunea Adrian Barbu 99 21 0 13 May 2009
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 215 607 0 22 Apr 2009
Asymptotic equivalence of spectral density estimation and gaussian white noise G. Golubev M. Nussbaum Harrison H. Zhou 144 52 0 07 Mar 2009
Sparse Conformal Predictors Mohamed Hebiri 165 15 0 11 Feb 2009
The Benefit of Group Sparsity Junzhou Huang Tong Zhang 212 466 0 20 Jan 2009
Feature selection by Higher Criticism thresholding: optimal phase diagram D. Donoho Jiashun Jin 105 86 0 11 Dec 2008
Selection of variables and dimension reduction in high-dimensional non-parametric regression Karine Bertin Guillaume Lecué 106 50 0 07 Nov 2008
Rodeo: Sparse, greedy nonparametric regression John D. Lafferty Larry A. Wasserman 187 137 0 12 Mar 2008
Hierarchical selection of variables in sparse high-dimensional regression Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 187 38 0 08 Jan 2008
Asymptotic approximation of nonparametric regression experiments with unknown variances Andrew V. Carter 170 22 0 19 Oct 2007
High-dimensional variable selection Larry Wasserman Kathryn Roeder 582 582 0 09 Apr 2007