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Efficient Smoothed Concomitant Lasso Estimation for High Dimensional
  Regression

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

8 June 2016
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
V. Leclère
Joseph Salmon
ArXiv (abs)PDFHTML

Papers citing "Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression"

15 / 15 papers shown
Title
CoLiDE: Concomitant Linear DAG Estimation
CoLiDE: Concomitant Linear DAG Estimation
S. S. Saboksayr
Gonzalo Mateos
Mariano Tepper
CML
77
5
0
04 Oct 2023
Smooth over-parameterized solvers for non-smooth structured optimization
Smooth over-parameterized solvers for non-smooth structured optimization
C. Poon
Gabriel Peyré
99
19
0
03 May 2022
Spatially relaxed inference on high-dimensional linear models
Spatially relaxed inference on high-dimensional linear models
Jérôme-Alexis Chevalier
Tuan-Binh Nguyen
Bertrand Thirion
Joseph Salmon
68
1
0
04 Jun 2021
The Hessian Screening Rule
The Hessian Screening Rule
Johan Larsson
J. Wallin
73
3
0
27 Apr 2021
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual
  Bandits
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Zhimei Ren
Zhengyuan Zhou
120
31
0
27 Aug 2020
Support recovery and sup-norm convergence rates for sparse pivotal
  estimation
Support recovery and sup-norm convergence rates for sparse pivotal estimation
Mathurin Massias
Quentin Bertrand
Alexandre Gramfort
Joseph Salmon
45
4
0
15 Jan 2020
Multi-subject MEG/EEG source imaging with sparse multi-task regression
Multi-subject MEG/EEG source imaging with sparse multi-task regression
H. Janati
Yonas T. Tadesse
Bertrand Thirion
Marco Cuturi
Alexandre Gramfort
114
32
0
03 Oct 2019
Group level MEG/EEG source imaging via optimal transport: minimum
  Wasserstein estimates
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates
H. Janati
Thomas Bazeille
Bertrand Thirion
Marco Cuturi
Alexandre Gramfort
OT
108
10
0
13 Feb 2019
Handling correlated and repeated measurements with the smoothed
  multivariate square-root Lasso
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Quentin Bertrand
Mathurin Massias
Alexandre Gramfort
Joseph Salmon
60
0
0
07 Feb 2019
Perspective Maximum Likelihood-Type Estimation via Proximal
  Decomposition
Perspective Maximum Likelihood-Type Estimation via Proximal Decomposition
P. Combettes
Christian L. Müller
53
20
0
16 May 2018
Hedging parameter selection for basis pursuit
Hedging parameter selection for basis pursuit
Stéphane Chrétien
A. Gibberd
S. Roy
13
4
0
04 May 2018
A sharp oracle inequality for Graph-Slope
A sharp oracle inequality for Graph-Slope
Pierre C. Bellec
Joseph Salmon
Samuel Vaiter
89
2
0
21 Jun 2017
Generalized Concomitant Multi-Task Lasso for sparse multimodal
  regression
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression
Mathurin Massias
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
82
23
0
27 May 2017
Gap Safe screening rules for sparsity enforcing penalties
Gap Safe screening rules for sparsity enforcing penalties
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
113
126
0
17 Nov 2016
Adapting to unknown noise level in sparse deconvolution
Adapting to unknown noise level in sparse deconvolution
Claire Boyer
Yohann De Castro
Joseph Salmon
52
17
0
15 Jun 2016
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