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1101.0434
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Sparse recovery with unknown variance: a LASSO-type approach

v1v2v3v4v5 (latest)

Sparse recovery with unknown variance: a LASSO-type approach

2 January 2011

Stéphane Chrétien

Sébastien Darses

ArXiv (abs)PDF HTML

Papers citing "Sparse recovery with unknown variance: a LASSO-type approach"

8 / 8 papers shown

Generalized Residual Ratio Thresholding

Generalized Residual Ratio ThresholdingSignal Processing (Signal Process.), 2019

Sreejith Kallummil

Sheetal Kalyani

204

4

0

18 Dec 2019

Revisiting clustering as matrix factorisation on the Stiefel manifold

Revisiting clustering as matrix factorisation on the Stiefel manifold

Stéphane Chrétien

173

3

0

11 Mar 2019

High-dimensional robust regression and outliers detection with SLOPE

High-dimensional robust regression and outliers detection with SLOPE

Alain Virouleau

Agathe Guilloux

Stéphane Gaïffas

224

9

0

07 Dec 2017

Small coherence implies the weak Null Space Property

Small coherence implies the weak Null Space Property

Stéphane Chrétien

54

2

0

29 Jun 2016

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional
Regression

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Alexandre Gramfort

140

29

0

08 Jun 2016

Joint estimation and model order selection for one dimensional ARMA
models via convex optimization: a nuclear norm penalization approach

Joint estimation and model order selection for one dimensional ARMA models via convex optimization: a nuclear norm penalization approach

Stéphane Chrétien

Basad Al-Sarray

153

2

0

07 Aug 2015

Sensing tensors with Gaussian filters

Sensing tensors with Gaussian filtersIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2015

Stéphane Chrétien

137

9

0

29 May 2015

On prediction with the LASSO when the design is not incoherent

On prediction with the LASSO when the design is not incoherent

Stéphane Chrétien

213

1

0

23 Mar 2012