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Statistics/Learning at Paris-Saclay (3rd Edition)

vendredi 19 janvier 2018 de au (Europe/Paris)
à Le Bois-Marie ( Centre de Conférences Marilyn et James Simons )
35, route de Chartres 91440 Bures-sur-Yvette

The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results in statistics and machine learning. Various theoretical topics in machine learning, statistics and probability theory will be presented as well as applications to social and ecological networks and brain mapping.

Registration is free and open until Friday 12th.

Organised by : Pierre Alquier et Guillaume Charpiat
with support from : GT Deep Net & GT Pasadena

Invited speakers :

Romain Couillet (Centrale-Supéléc)
Marco Cuturi (ENSAE ParisTech)
Sophie Donnet (INRA)
Anna Korba (Telecom ParisTech)
James Ridgway (Agro ParisTech)
Bertrand Thirion (INRIA)

The presentations will be in French, with slides (and potentially questions) in English.

This workshop is funded by Labex DigiCosme (project ANR-11-LABEX-0045-DIGICOSME) operated by ANR as part of the program ``Investissement d'Avenir'' Idex Paris-Saclay (ANR-11-IDEX-0003-02).


Abstracts pdf file Logos unknown type filedown arrow Poster pdf file Transparents pdf filedown arrow
Contact Email: cecile@ihes.fr Telephone: 0160926607
Go to day
  • vendredi 19 janvier 2018
    • 09:00 - 17:20 Fri 19/01
      • 09:00 Café d'accueil 1h0'
      • 10:00 A random matrix approach to bigdata machine learning 50'
        Intervenant: Romain Couillet (Centrale-Supéléc)
        Documents: Transparents pdf file
      • 10:50 Pause Café 30'
      • 11:20 Introduction aux modèles à blocs stochastiques pour la modélisation de réseaux sociaux et écologiques 50'
        Intervenant: Sophie Donnet (INRA)
        Documents: Transparents pdf file
      • 12:10 Generative Models and Optimal Transport 50'
        Intervenant: Marco Cuturi (ENSAE ParisTech)
        Documents: Transparents pdf file
      • 13:00 Déjeuner Buffet 1h20'
      • 14:20 Concentration of tempered posteriors and of their variational approximations 50'
        Intervenant: James Ridgway (Agro ParisTech)
        Documents: Transparents pdf file
      • 15:10 Toward a rigorous statistical framework for functional brain mapping 50'
        Intervenant: Bertrand Thirion (INRIA)
        Documents: Transparents pdf file
      • 16:00 Pause Café 30'
      • 16:30 Ranking median regression: Learning to order through local consensus 50'
        Intervenant: Anna Korba (Telecom ParisTech)
        Documents: Transparents pdf file