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Nearly optimal minimax estimator for high-dimensional sparse linear
  regression

Nearly optimal minimax estimator for high-dimensional sparse linear regression

27 June 2012
Li Zhang
ArXivPDFHTML

Papers citing "Nearly optimal minimax estimator for high-dimensional sparse linear regression"

8 / 8 papers shown
Title
The minimax risk of truncated series estimators for symmetric convex
  polytopes
The minimax risk of truncated series estimators for symmetric convex polytopes
Adel Javanmard
Li Zhang
59
7
0
12 Jan 2012
How well can we estimate a sparse vector?
How well can we estimate a sparse vector?
Emmanuel J. Candès
Mark A. Davenport
80
116
0
27 Apr 2011
Compressed Sensing over $\ell_p$-balls: Minimax Mean Square Error
Compressed Sensing over ℓp\ell_pℓp​-balls: Minimax Mean Square Error
D. Donoho
Iain M. Johnstone
A. Maleki
Andrea Montanari
218
30
0
10 Mar 2011
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
154
317
0
16 Aug 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
298
3,543
0
25 Feb 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
181
575
0
11 Oct 2009
Approximation and learning by greedy algorithms
Approximation and learning by greedy algorithms
Andrew R. Barron
A. Cohen
W. Dahmen
Ronald A. DeVore
160
320
0
12 Mar 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
386
2,527
0
07 Jan 2008
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