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Towards the study of least squares estimators with convex penalty

Towards the study of least squares estimators with convex penalty

31 January 2017
Pierre C. Bellec
Guillaume Lecué
Alexandre B. Tsybakov
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Papers citing "Towards the study of least squares estimators with convex penalty"

5 / 5 papers shown
Title
Robust high dimensional learning for Lipschitz and convex losses
Robust high dimensional learning for Lipschitz and convex losses
Geoffrey Chinot
Guillaume Lecué
M. Lerasle
23
18
0
10 May 2019
Finite sample improvement of Akaike's Information Criterion
Finite sample improvement of Akaike's Information Criterion
Adrien Saumard
F. Navarro
21
3
0
06 Mar 2018
Improved bounds for Square-Root Lasso and Square-Root Slope
Improved bounds for Square-Root Lasso and Square-Root Slope
A. Derumigny
25
26
0
08 Mar 2017
Learning without Concentration
Learning without Concentration
S. Mendelson
85
334
0
01 Jan 2014
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
125
379
0
11 Jul 2010
1