S. Chrétien

activity

20082021

most citedA Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

6 citations · 14 across the 27 of their papers we have counts for

collaborators

Showing 2011 · math.STShow all

2 papers · 2 filters

math.ST2011

On the generic uniform uniqueness of the LASSO estimator

Stephane Chretien, Sebastien Darses

The LASSO is a variable subset selection procedure in statistical linear regression based on $ℓ_{1}$ penalization of the least-squares operator. Uniqueness of the LASSO is an impo…

math.ST2011

Sparse recovery with unknown variance: a LASSO-type approach

Stéphane Chrétien, Sébastien Darses

We address the issue of estimating the regression vector $β$ in the generic $s$ -sparse linear model $y = X β + z$ , with $β \in R^{p}$ , $y \in R^{n}$ , $z\sim\mathcal N(0,\sg^2 I)$ and $p…