Gauthier Gidel

Ph.D. Candidate
Université de Montréal - DIRO
Mila Send an email


I am a Ph.D candidate supervised by Simon Lacoste-Julien, I graduated from ENS Ulm and Université Paris-Saclay. I was a visiting PhD student at Sierra. I also worked for 6 months as a freelance Data Scientist for Monsieur Drive (Acquired by Criteo) and I recently co-founded a startup called Krypto. I'm currently pursuing my PhD at Mila. My work focuses on optimization applied to machine learning. More details can be found in my resume (early 2018).

Link to my Google scholar.


Research interests

My research is to develop new optimization algorithms and understand the role of optimization in the learning procedure, in short, learn faster and better.
I identify to the field of machine learning (NIPS, ICML, AISTATS and ICLR) and optimization (SIAM OP)

[NEW!]


NeurIPS decision are out and I got 4 paper accepted to the main conference!

Preprints - Publications - Manuscripts


  • 5
    Adaptive Three Operator Splitting

    Fabian Pedregosa, Gauthier Gidel.
    Proceedings of the 35th International Conference on Machine Learning (ICML), 2018.

    Paper Poster Slides bibtex arXiv
    @inproceedings{pedregosa2018adaptive,
      author      = {Pedregosa, Fabian and Gidel, Gauthier},
      title       = {Adaptive Three Operator Splitting},
      booktitle   = {ICML},
      year        = {2018} 
                    }

  • 4
    Frank-Wolfe Splitting via Augmented Lagrangian Method

    Gauthier Gidel, Fabian Pedregosa and Simon Lacoste-Julien.
    Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. (ORAL, TOP 5% of submitted papers)

    Paper Webpage Poster Slides bibtex
    @inproceedings{gidel2018fwal,
      author      = {Gidel, Gauthier and Pedregosa, Fabian and Lacoste-Julien, Simon},
      title       = {Frank-Wolfe Splitting via Augmented Lagrangian Method},
      booktitle   = {AISTATS},
      year        = {2018} 
                  }

  • 2
    Frank-Wolfe Algorithms for Saddle Point Problems

    Gauthier Gidel, Tony Jebara and Simon Lacoste-Julien.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.

    Paper bibtex arXiv
    @inproceedings{gidel2017saddle,
      author      = {Gidel, Gauthier and Jebara, Tony and Lacoste-Julien, Simon},
      title       = {{F}rank-{W}olfe Algorithms for Saddle Point Problems},
      booktitle     = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)},
      year        = {2017} 
                    }
    HAL Code Project Poster

    Accepted as an oral presentation at the NeurIPS OPT2016 workshop
    (TOP 10% of accepted submissions).
  • 1
    Extensions de l’algorithme de Frank-Wolfe pour la recherche de points selles. (In French)

    Gauthier Gidel.
    Introduction au domaine de recherche (Equivalent of Master's thesis) au DMA, ENS 2016.


Talks


2019
2018
2017 2016

Reviewing


  • NeurIPS 2018 Top 200 reviewer.
  • ICLR 2019.
  • AISTATS 2019.
  • ICML 2019 (top 5% reviewer).

  • Teaching Experience


    Mathematics Examiner in CPGE (most competitive undergrad program in France)


    Contact


    Gauthier Gidel
    Pavillon André-Aisenstadt
    2920 Chemin de la Tour, office 3331
    Montreal, QC
    H3T 1J4 CANADA

    © 2019