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1809.03145
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Optimal variable selection and adaptive noisy Compressed Sensing
10 September 2018
M. Ndaoud
Alexandre B. Tsybakov
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Papers citing
"Optimal variable selection and adaptive noisy Compressed Sensing"
17 / 17 papers shown
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Adaptive robust estimation in sparse vector model
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Robust machine learning by median-of-means : theory and practice
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Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a Local Search Algorithm
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Ilias Zadik
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Which bridge estimator is optimal for variable selection?
Shuaiwen Wang
Haolei Weng
A. Maleki
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24 May 2017
Improved bounds for Square-Root Lasso and Square-Root Slope
A. Derumigny
267
26
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08 Mar 2017
Slope meets Lasso: improved oracle bounds and optimality
Pierre C. Bellec
Guillaume Lecué
Alexandre B. Tsybakov
307
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27 May 2016
Variable selection with Hamming loss
C. Butucea
M. Ndaoud
N. Stepanova
Alexandre B. Tsybakov
293
46
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06 Dec 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs
Adel Javanmard
Andrea Montanari
114
196
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11 Aug 2015
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach
Cem Aksoylar
George Atia
Venkatesh Saligrama
87
58
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02 Apr 2013
Covariate assisted screening and estimation
Z. Ke
Jiashun Jin
Jianqing Fan
111
21
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21 May 2012
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin
Cun-Hui Zhang
Qi Zhang
108
45
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29 Apr 2012
Variable Selection in High Dimensions with Random Designs and Orthogonal Matching Pursuit
Antony Joseph
94
11
0
04 Sep 2011
UPS delivers optimal phase diagram in high-dimensional variable selection
Pengsheng Ji
Jiashun Jin
320
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25 Oct 2010
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
292
382
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11 Jul 2010
Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
Wei Wang
Martin J. Wainwright
Kannan Ramchandran
295
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03 Jun 2008
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