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Dual Extrapolation for Sparse Generalized Linear Models
v1v2v3 (latest)

Dual Extrapolation for Sparse Generalized Linear Models

12 July 2019
Mathurin Massias
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
ArXiv (abs)PDFHTML

Papers citing "Dual Extrapolation for Sparse Generalized Linear Models"

12 / 12 papers shown
Title
Beyond L1: Faster and Better Sparse Models with skglm
Beyond L1: Faster and Better Sparse Models with skglm
Quentin Bertrand
Quentin Klopfenstein
Pierre-Antoine Bannier
Gauthier Gidel
Mathurin Massias
55
14
0
16 Apr 2022
SIGLE: a valid procedure for Selective Inference with the Generalized
  Linear Lasso
SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso
Quentin Duchemin
Yohann De Castro
44
0
0
29 Mar 2022
Iterative regularization for low complexity regularizers
Iterative regularization for low complexity regularizers
C. Molinari
Mathurin Massias
Lorenzo Rosasco
S. Villa
69
6
0
01 Feb 2022
OmiTrans: generative adversarial networks based omics-to-omics
  translation framework
OmiTrans: generative adversarial networks based omics-to-omics translation framework
Xiaoyu Zhang
Yike Guo
MedIm
65
5
0
27 Nov 2021
The folded concave Laplacian spectral penalty learns block diagonal
  sparsity patterns with the strong oracle property
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
Iain Carmichael
62
2
0
07 Jul 2021
Implicit differentiation for fast hyperparameter selection in non-smooth
  convex learning
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
99
28
0
04 May 2021
Anderson acceleration of coordinate descent
Anderson acceleration of coordinate descent
Quentin Bertrand
Mathurin Massias
40
12
0
19 Nov 2020
Model identification and local linear convergence of coordinate descent
Model identification and local linear convergence of coordinate descent
Quentin Klopfenstein
Quentin Bertrand
Alexandre Gramfort
Joseph Salmon
Samuel Vaiter
121
5
0
22 Oct 2020
Statistical control for spatio-temporal MEG/EEG source imaging with
  desparsified multi-task Lasso
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier
Alexandre Gramfort
Joseph Salmon
Bertrand Thirion
79
10
0
29 Sep 2020
Screening Rules and its Complexity for Active Set Identification
Screening Rules and its Complexity for Active Set Identification
Eugène Ndiaye
Olivier Fercoq
Joseph Salmon
107
8
0
06 Sep 2020
Implicit differentiation of Lasso-type models for hyperparameter
  optimization
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand
Quentin Klopfenstein
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
104
66
0
20 Feb 2020
On Newton Screening
Jian Huang
Yuling Jiao
Lican Kang
Jin Liu
Yanyan Liu
Xiliang Lu
Yuanyuan Yang
24
2
0
27 Jan 2020
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