danaxvenue.blogg.se

Salomon qlab 2016
Salomon qlab 2016












  1. SALOMON QLAB 2016 FULL
  2. SALOMON QLAB 2016 CODE

SALOMON QLAB 2016 FULL

Since 2018, I am a full professor at Université de MontpellierĪnd an associate member at INRIA Parietal Team.įor the spring and summer quarters 2018, I was a visiting assistant professor at UW, Statistics departement.įrom 2012 to 2018 I was an assistant professor at Telecom ParisTech.īack in 20, I was a post-doctoral Associate at Duke university working with Rebecca Willett.

  • At this stage an interview (possibly online) will be arranged to double check your skills and profile compatibility.
  • After preliminary feedback on my side, I will ask you to secure two reference letters (one is enough for interns or PhD students) to be sent directly to me.
  • Send me an email with your CV, transcript of most recent grades (for interns and PhD students) and explain in a paragraph why you are interested to join my group.
  • I always have open positions for outstanding applicants.
  • optimization for machine learning (including federated learning, privacy, etc.).
  • I am always looking for outstanding and highly motivated people to join my team as interns, PhD students, post-doctorates or research engineers in the following areas:
  • Thierry Guillemot (now at Rythm Inc.) Engineer, co-supervised by Alexandre Gramfort, 2016.
  • Jair Montoya, co-supervised by Olivier Fercoq.
  • Igor Colin co-supervised by Stéphan Clémençon and funded by Streamwide (now at Huawei).
  • Jean Lafond co-supervised by Éric Moulines (now at Cubist Systematic, UK).
  • Eugene Ndiaye, co-supervised by Olivier Fercoq (now at Riken Institute, Japan).
  • Evgenii Chzhen, co-supervised by Mohamed Hebiri (now at Université Paris-Sud).
  • Mathurin Massias, co-supervised by Alexandre Gramfort (now at Università di Genova, Italy).
  • Jérôme-Alexis Chevalier, co-supervised by Bertrand Thirion (now at Inria Saclay).
  • Pierre-Antoine Bannier, co-supervised by Alexandre Gramfort.
  • Quentin Bertrand, co-supervised by Alexandre Gramfort (now at Mila).
  • Nidham Gazagnadou co-supervised by Robert Gower: 2018-2021?.
  • Damien Blanc co-supervised by Benjamin Charlier and funded by Quantacell: 2019-2022?.
  • Florent Bascou co-supervised by Sophie Lèbre: 2019-2022?.
  • Hashem Ghanem co-supervised by Samuel Vaiter and Nicolas Keriven: 2020-2023?.
  • Emmanuel Pilliat co-supervised by Nicolas Verzelen and Alexandra Carpentier: 2020-2023?.
  • Camille Garcin co-supervised by Alexis Joly and Maximilien Servajean: 2020-2023?.
  • Tanguy Lefort co-supervised with Benjamin Charlier 2021-2024?.
  • In the process of being merged into: Peeramid.
  • classgrade: an open source project for peer grading, mostly developped by C.
  • Joint work with Mathurin Massias and Alexandre Gramfort

    SALOMON QLAB 2016 CODE

  • "Celer: a Fast Solver for the Lasso with Dual Extrapolation", accepted to ICML2018 code and companion paper called ( pdf, slides).
  • May 2019 : Workshop in Montpellier Graph signals : learning and optimization perspectives.
  • "Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso" arxiv, code
  • September 2019: New paper accepted at NeurIPS 2019, joint work with Q.
  • Open PhD and postdoc positions will be published soon (location: Montpellier)ĭo not hesitate to contact me for additional information
  • December 2019: The AI chair proposal CaMeLOt (CooperAtive MachinE Leanrning and OpTimization) has been selected by the ANR.
  • January 2020: New paper accepted to AISTATS " Support recovery and sup-norm convergence rates for sparse pivotal estimation" with Q.
  • June 2020: New paper accepted to ICML " Implicit differentiation of Lasso-type models for hyperparameter optimization" with Q.
  • October 2020: talk at GdR MIA Thematic day on Non-Convex Sparse Optimization (Toulouse, France) "Screening Rules for Lasso with Non-Convex Sparse Regularizers" slides and a bit onīenchOpt, a new package to simplify, make more transparent and more reproducible comparisons between optimization algorithms.
  • November 2020: Launching ML-MTP Machine Learning in Montpellier, Theory & Practice.
  • June 2020: New dataset available! This is a subset of the database, with more than 300k images and thousand of classes (plant species).
  • July 2021: IUF Nomination (junior member):.
  • August 2021: Post-doctorate position available in my group: Post-doc_offer.pdf.













  • Salomon qlab 2016