Recent Publications


@article{Bekhti_Lucka_Salmon_Gramfort18,
 author = {Y. Bekhti, F. Lucka, J. Salmon and A. Gramfort},
 journal = {Inverse Problems},
 number = {8},
 pages = {085010},
 pdf = {https://arxiv.org/abs/1710.08747},
 title = {A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging},
 volume = {34},
 year = {2018}
}

@inproceedings{Chevalier_Salmon_Thirion18,
 author = {J.-A. Chevalier, J. Salmon and B. Thirion},
 booktitle = {MICCAI},
 pdf = {https://arxiv.org/pdf/1806.05829.pdf},
 title = {Statistical Inference with Ensemble of Clustered Desparsified Lasso},
 year = {2018}
}

@article{Chzhen_Hebiri_Salmon17,
 author = {E. Chzhen, M. Hebiri and J. Salmon},
 journal = {Bernouilli (to appear)},
 pdf = {https://arxiv.org/pdf/1707.05232.pdf},
 title = {On Lasso refitting strategies},
 year = {2018}
}

@inproceedings{Massias_Gramfort_Salmon18,
 author = {M. Massias, A. Gramfort and J. Salmon},
 booktitle = {ICML},
 comment = {
[Python Code] |},
 pdf = {https://arxiv.org/abs/1802.07481},
 title = {{Dual Extrapolation for Faster Lasso Solvers}},
 year = {2018}
}

@inproceedings{Massias_Fercoq_Gramfort_Salmon17,
 author = {M. Massias, O. Fercoq, A. Gramfort and J. Salmon},
 booktitle = {AISTATS},
 comment = {
[Python Code] |},
 pdf = {https://arxiv.org/pdf/1705.09778.pdf},
 title = { Generalized Concomitant Multi-Task Lasso for sparse multimodal regression},
 year = {2018}
}

@techreport{Ndiaye_Le_Fercoq_Salmon_Takeuchi18,
 author = {E. Ndiaye, T. Le, O. Fercoq, J. Salmon and I. Takeuchi},
 pdf = {https://arxiv.org/pdf/1810.05471.pdf},
 title = {Safe Grid Search with Optimal Complexity},
 year = {2018}
}

@article{Bellec_Salmon_Vaiter17,
 author = {P. C. Bellec, J. Salmon and S. Vaiter},
 journal = {Electron. J. Statist.},
 number = {2},
 pages = {4851--4870},
 pdf = {https://arxiv.org/pdf/1706.06977.pdf},
 title = {{A sharp oracle inequality for Graph-Slope}},
 volume = {11},
 year = {2017}
}

Full list of publications

Contact

Email: joseph.salmon@umontpellier.fr

Address: IMAG, c.c. 051 Université de Montpellier Place Eugène Bataillon 34095 Montpellier Cedex 5

(office 415, building 9)

Phone: +33 4 67 14 35 19

News

  • October 2018: New preprint out, joint work with E. Ndiaye, T. Le, O. Fercoq, I. Takeuchi : on links between optimization and learning "Safe Grid Search with Optimal Complexity" pdf.
  • July 2018: "Celer: a Fast Solver for the Lasso with Dual Extrapolation", accepted to ICML2018; code and companion paper called (pdf, slides). Joint work with Mathurin Massias and Alexandre Gramfort
  • New paper "Statistical Inference with Ensemble of Clustered Desparsified Lasso" with Jérôme-Alexis Chevalier and Bertrand Thirion accepted at Miccai 2018 (pdf) -classgrade: an open source project for peer grading, mostly developped by C. Marini. In the process of being merged into: Peeramid MOOC: Fondamentaux pour le Big Data (in French)

Short Bio

I am currently a full professor at Université de Montpellier and an associate member at INRIA Parietal Team. For the spring and summer quarters 2018, I was a visiting assistant professor at UW, Statistics departement. From 2012 to 2018 I was an assistant professor at Telecom ParisTech. Back in 2011 and 2012, I was a post-doctoral Associate at Duke university working with Rebecca Willett.

In 2010, I finished my PHD in statistics and image processing under the supervision of Dominique Picard and Erwan Le Pennec at the Laboratoire de Probabilités et de Modélisation Aléatoire, now LPSM, in Université Paris Diderot.

Software

  • matlab toolboxes for statistics and image processing (this is legacy)
  • Celer: a fast Lasso solver, code of the associated ICML paper "Dual Extrapolation for Faster Lasso Solvers" (pdf, slides)

More on my Github Page

Team

PhD Students

Alumni

Open positions in my lab

This list is fuzzy so please contact me directly for potential opportunities (post-doc, phd thesis, internship)

Teaching / courses


  • HMMA308 - Apprentissage statistique (2018-2019)
  • STAT593 - Robust statistics (2018-2019)
  • M2MO - Statistical Learning (2013-2018)
  • SD204 - Linear models (2016-2018)
  • MDI720 - Modèles linéaires (2013-2018)
  • CR12 - Machine Learning (2013-2015)
  • SD3 - Statistiques Descriptives (2010-2011)
  • M53010 - Économétrie (2009-2010)
  • Full list of courses

    Talks


    Full list of talk