celer: new and fast Lasso solver: code (github) and companion paper called "Dual Extrapolation for Faster Lasso Solvers" (pdf).
Joint work with
M. Massias and
A. Gramfort.
Our paper on Heteroscedastic Concomitant Lasso accepted to AISTATS2018.
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging Y. Bekhti, F. Lucka, J. Salmon, A.Gramfort, 2017. [bib] | [pdf]
From 2011 to the end of 2012, I was a post-doctoral Associate at
Duke university
working with
Rebecca Willett in the
Network and Imaging Science Laboratory (NISLab).
In 2010, I finished my PHD in Statistics under the supervision of
Dominique Picard and
Erwan Le Pennec at the Laboratoire de Probabilités et de Modélisation Aléatoire (LPMA ) in Université Paris Diderot. My thesis was about the denoising of digital images combining patch-based method and statistical aggregation. The full manuscript can be found in the section papers. I am especially interested in topics such as: high dimensional regression, aggregation of estimators, patch based denoising methods and non-parametric regression.
In 2010-2011, I was a lecturer in descriptive
statistics for first and second year students with
Stéphane Boucheron and A. Belaiche. I was also a lecturer in Statitics at ENSAE
for second year students (Master 1 level).
Monitorat, Paris 7 - Diderot (2007-2010)
In 2009-2010, I supervised practical works in Econometrics, for student with level Licence 3. Releavant exercices are available here. I was also a lecturer in Statitics at ENSAE for second year students (Master 1 level).
In 2008-2009, I was a project supervisor in
mathematics and algorithmic (Master 1 level) with
Pierre Alquier and
Mohamed Hebiri.
Courses, project subjects and exercice sheets are available here.
In 2007-2008, I was a lecturer in Formal Calculus with Maple (Licence 1).
Courses and exercices sheets are available in french here.