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"

8 / 8 papers shown

Title
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination Jingfu Peng MoMe 28 0 0 05 May 2025
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 8 151 0 16 Aug 2018
Variable selection in nonparametric additive models Jian Huang J. Horowitz Fengrong Wei 83 547 0 20 Oct 2010
Adaptive Dantzig density estimation Karine Bertin E. L. Pennec Vincent Rivoirard 92 45 0 06 May 2009
$Simultaneous support recovery in high dimensions: Benefits and perils of block $\ell_1/\ell_\infty$-regularization$ Simultaneous support recovery in high dimensions: Benefits and perils of block $\ell_1/\ell_\infty$ -regularization S. Negahban Martin J. Wainwright 106 65 0 05 May 2009
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage Yiyuan She 46 155 0 30 Dec 2008
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 53 439 0 13 Nov 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 172 738 0 04 Apr 2008