Current position

Full Professor at Université de Montpellier
Associate member at INRIA Parietal photo2



Latest papers

On the benefits of output sparsity for multi-label classification
E. Chzhen, C. Denis, M. Hebiri, J. Salmon
, 2017.
[bib] | [pdf]
Refereed Journal Papers
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
, Inverse Problems, 2018.
[bib] | [pdf]
A sharp oracle inequality for Graph-Slope
P. C. Bellec, J. Salmon, S. Vaiter
, Electron. J. Statist., vol.11, pp. 4851--4870, 2017.
[Python Code] | [bib] | [pdf]
Gap Safe screening rules for sparsity enforcing penalties
E. Ndiaye, O. Fercoq, A. Gramfort, J. Salmon
, JMLR, vol.18, pp. 1-33, 2017.
[bib] | [pdf]
Refereed Conference Papers
Dual Extrapolation for Faster Lasso Solvers
M. Massias, A. Gramfort, J. Salmon
, ICML, 2018.
[Python Code] | [bib] | [pdf]
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression
M. Massias, O. Fercoq, A. Gramfort, J. Salmon
, AISTATS, 2018.
[Python Code] | [bib] | [pdf]
Statistical Inference with Ensemble of Clustered Desparsified Lasso
J.-A. Chevalier, J. Salmon, B. Thirion
, MICCAI, 2018.
[bib] | [pdf]
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From 2012 to 2018 I was an assistant professor at TELECOM ParisTech.
For the spring and summer quarters I was a Visiting assistant professor at UW, Statistics departement.
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.


You can find my papers and my talks slides. I also collect here software and other numerical elements for reproducing the experimental results presented in my papers.


TELECOM ParisTech (2013-)
  • Measure and integration
  • Machine learning
  • Probability theory (advanced)
  • Statistics
  • Continuing education
ENS Lyon (2013-2015)
Paris 7 - Diderot (2013-)
ATER, Paris 7 - Diderot (2010-2011)
  • 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.


Here you can find my resume and several links about mathematics, my colleagues and various stuff.