Recent Publications


@techreport{Bertrand_Massias_Gramfort_Salmon19,
 author = {Q. Bertrand, M. Massias, A. Gramfort and J. Salmon},
 comment = {
[Code] },
 pdf = {https://hal.archives-ouvertes.fr/hal-02010014/document},
 title = {Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise},
 year = {2019}
}

@inproceedings{Deledalle_Papadakis_Salmon_Vaiter19,
 author = {C.-A. Deledalle, N. Papadakis, J. Salmon and S. Vaiter},
 booktitle = {SSVM},
 pdf = {https://arxiv.org/pdf/1903.00741.pdf},
 title = {Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties},
 year = {2019}
}

@inproceedings{Rakotomamonjy_Gasso_Salmon19,
 author = {A. Rakotomamonjy, G. Gasso and J. Salmon},
 booktitle = {ICML},
 comment = {
[Code] },
 pdf = {https://hal.archives-ouvertes.fr/hal-02017967v1},
 title = {Screening Rules for Lasso with Non-Convex Sparse Regularizers},
 year = {2019}
}

@inproceedings{Gazagnadou_Gower_Salmon19,
 author = {N. Gazagnadou, R. Gower and J. Salmon},
 booktitle = {ICML},
 comment = {
[Code] },
 pdf = {https://arxiv.org/pdf/1902.00071.pdf},
 title = {Optimal mini-batch and step sizes for SAGA},
 year = {2019}
}

@inproceedings{Ndiaye_Le_Fercoq_Salmon_Takeuchi19,
 author = {E. Ndiaye, T. Le, O. Fercoq, J. Salmon and I. Takeuchi},
 booktitle = {ICML},
 comment = {[Code]},
 pdf = {https://arxiv.org/pdf/1810.05471.pdf},
 title = {Safe Grid Search with Optimal Complexity},
 year = {2019}
}

@techreport{Parmentier_Cohen_Leclerer_Obosinski_Salmon19,
 author = {A. Parmentier, V. Cohen, V. Leclère, G. Obozinski and J. Salmon},
 journal = {arXiv e-prints},
 pdf = {https://arxiv.org/pdf/1902.07039.pdf},
 title = {Mathematical programming for influence diagrams},
 year = {2019}
}

@article{Bekhti_Lucka_Salmon_Gramfort18,
 author = {Y. Bekhti, F. Lucka, J. Salmon and A. Gramfort},
 comment = {
[Code] },
 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}
}

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

  • Workshop in Montpellier (May 2-3 2019): Graph signals : learning and optimization perspectives
  • February 2019: New preprint out, joint work with A. Parmentier, V. Cohen, V. Leclère and G. Obozinski. "Mathematical programming for influence diagrams " arxiv.
  • January 2019: New preprint out, joint work with Q. Bertrand, M. Massias and A. Gramfort. "Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise" arxiv.
  • January 2019: New preprint out, joint work with N. Gazagnadou, R. Gower and J. Salmon. "Optimal mini-batch and step sizes for SAGA" arxiv.
  • January 2019: New preprint out, joint work with G. Gasso and A. Rakotomamonjy. "Screening Rules for Lasso with Non-Convex Sparse Regularizers" arxiv.
  • 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
  • classgrade: an open source project for peer grading, mostly developped by C. Marini. In the process of being merged into: Peeramid.

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

  • HLMA408 - Traitement de données pour l'écologie (2018-2019)
  • HMMA237 - Séries temporelles avancées (2018-2019)
  • HMMA238 - Bonnes pratiques en programmation (2018-2019)
  • HLMA310 - Logiciels scientifiques (2018-2019)
  • 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