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Support union recovery in high-dimensional multivariate regression

Support union recovery in high-dimensional multivariate regression

5 August 2008
G. Obozinski
Martin J. Wainwright
Michael I. Jordan
ArXivPDFHTML

Papers citing "Support union recovery in high-dimensional multivariate regression"

9 / 9 papers shown
Title
The composite absolute penalties family for grouped and hierarchical
  variable selection
The composite absolute penalties family for grouped and hierarchical variable selection
P. Zhao
Guilherme V. Rocha
Bin Yu
154
672
0
02 Sep 2009
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
272
292
0
09 Mar 2009
The Benefit of Group Sparsity
The Benefit of Group Sparsity
Junzhou Huang
Tong Zhang
151
465
0
20 Jan 2009
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
213
879
0
01 Jun 2008
Asymptotic properties of bridge estimators in sparse high-dimensional
  regression models
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Jian Huang
J. Horowitz
Shuangge Ma
192
517
0
04 Apr 2008
Variable selection for the multicategory SVM via adaptive sup-norm
  regularization
Variable selection for the multicategory SVM via adaptive sup-norm regularization
Hao Helen Zhang
Yufeng Liu
Yichao Wu
Ji Zhu
92
80
0
26 Mar 2008
On the $\ell_1-\ell_q$ Regularized Regression
On the ℓ1−ℓq\ell_1-\ell_qℓ1​−ℓq​ Regularized Regression
Han Liu
Jian Zhang
144
18
0
11 Feb 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
300
2,527
0
07 Jan 2008
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
284
571
0
28 Nov 2007
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