Lasso-type recovery of sparse representations for high-dimensional data

1 June 2008

Papers citing "Lasso-type recovery of sparse representations for high-dimensional data"

10 / 60 papers shown

Title
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 86 166 0 15 Dec 2008
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 72 439 0 13 Nov 2008
$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
$Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization$ Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization F. Bunea 80 145 0 29 Aug 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 97 1,223 0 07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black Cat? X. Meng 99 6 0 07 Aug 2008
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 130 863 0 07 Aug 2008
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 189 481 0 25 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 110 2,515 0 07 Jan 2008