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An error bound for Lasso and Group Lasso in high dimensions
v1v2 (latest)

An error bound for Lasso and Group Lasso in high dimensions

21 December 2019
Antoine Dedieu
ArXiv (abs)PDFHTML

Papers citing "An error bound for Lasso and Group Lasso in high dimensions"

9 / 9 papers shown
Title
Error bounds for sparse classifiers in high-dimensions
Error bounds for sparse classifiers in high-dimensions
Antoine Dedieu
67
7
0
07 Oct 2018
Slope meets Lasso: improved oracle bounds and optimality
Slope meets Lasso: improved oracle bounds and optimality
Pierre C. Bellec
Guillaume Lecué
Alexandre B. Tsybakov
307
190
0
27 May 2016
A tail inequality for quadratic forms of subgaussian random vectors
A tail inequality for quadratic forms of subgaussian random vectors
Daniel J. Hsu
Sham Kakade
Tong Zhang
139
422
0
13 Oct 2011
How well can we estimate a sparse vector?
How well can we estimate a sparse vector?
Emmanuel J. Candès
Mark A. Davenport
103
116
0
27 Apr 2011
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
287
382
0
11 Jul 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
220
575
0
11 Oct 2009
The Benefit of Group Sparsity
The Benefit of Group Sparsity
Junzhou Huang
Tong Zhang
212
466
0
20 Jan 2009
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,530
0
07 Jan 2008
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
507
362
0
19 Oct 2007
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