Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators

30 January 2008

Papers citing "Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators"

15 / 15 papers shown

Title
Asymptotic theory in network models with covariates and a growing number of node parameters Q. Wang Yuan Zhang T. Yan 11 1 0 20 Jul 2022
Variable selection, monotone likelihood ratio and group sparsity C. Butucea E. Mammen M. Ndaoud Alexandre B. Tsybakov 19 3 0 30 Dec 2021
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net Yujia Ding Qidi Peng Zhengming Song Hansen Chen 29 6 0 14 Dec 2021
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 25 57 0 06 Jun 2015
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 20 166 0 17 Dec 2014
Group Regularized Estimation under Structural Hierarchy Yiyuan She Zhifeng Wang He Jiang 28 47 0 17 Nov 2014
High-dimensional covariance matrix estimation with missing observations Karim Lounici 36 181 0 12 Jan 2012
Multi-stage Convex Relaxation for Feature Selection Tong Zhang 45 112 0 03 Jun 2011
PAC-Bayesian aggregation and multi-armed bandits Jean-Yves Audibert 76 21 0 15 Nov 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 102 50 0 08 Feb 2010
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) Jianqing Fan Jinchi Lv 68 902 0 06 Oct 2009
Adaptive Dantzig density estimation Karine Bertin E. L. Pennec Vincent Rivoirard 100 45 0 06 May 2009
SPADES and mixture models F. Bunea Alexandre B. Tsybakov M. Wegkamp Adrian Barbu 77 63 0 14 Jan 2009
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 76 166 0 15 Dec 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 174 748 0 04 Apr 2008