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SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax

SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax

29 March 2015
Weijie Su
Emmanuel Candes
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Papers citing "SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax"

22 / 22 papers shown
Title
Strong Screening Rules for Group-based SLOPE Models
Strong Screening Rules for Group-based SLOPE Models
Fabio Feser
Marina Evangelou
162
1
0
24 May 2024
Iterative Algorithm for Discrete Structure Recovery
Iterative Algorithm for Discrete Structure Recovery
Chao Gao
A. Zhang
417
31
0
04 Nov 2019
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
209
60
0
05 Feb 2017
Sparse Estimation with Strongly Correlated Variables using Ordered
  Weighted L1 Regularization
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization
Mário A. T. Figueiredo
Robert D. Nowak
174
29
0
14 Sep 2014
Controlling the false discovery rate via knockoffs
Controlling the false discovery rate via knockoffs
Rina Foygel Barber
Emmanuel J. Candès
208
748
0
22 Apr 2014
Adaptive Threshold Estimation by FDR
Adaptive Threshold Estimation by FDR
Wenhua Jiang
Cun-Hui Zhang
145
2
0
30 Dec 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via
  Approximate Message Passing
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing
D. Donoho
Andrea Montanari
203
221
0
28 Oct 2013
Sequential Selection Procedures and False Discovery Rate Control
Sequential Selection Procedures and False Discovery Rate Control
M. G'Sell
Stefan Wager
Alexandra Chouldechova
Robert Tibshirani
181
166
0
20 Sep 2013
A significance test for the lasso
A significance test for the lasso
R. Lockhart
Jonathan E. Taylor
Robert Tibshirani
Robert Tibshirani
234
658
0
30 Jan 2013
Concentration inequalities for order statistics
Concentration inequalities for order statistics
S. Boucheron
Maud Thomas
140
81
0
31 Jul 2012
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
242
30
0
10 Mar 2011
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
259
957
0
02 Oct 2010
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
178
317
0
16 Aug 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
258
153
0
03 Aug 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
321
3,557
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
209
575
0
11 Oct 2009
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
253
731
0
05 Oct 2009
A data-driven block thresholding approach to wavelet estimation
A data-driven block thresholding approach to wavelet estimation
T. Tony Cai
Harrison H. Zhou
153
109
0
30 Mar 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
430
881
0
01 Jun 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
491
2,529
0
07 Jan 2008
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
279
216
0
02 Jan 2008
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
465
362
0
19 Oct 2007
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