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

Europe/Paris
Centre de Conférences Marilyn et James Simons (Le Bois-Marie)

Centre de Conférences Marilyn et James Simons

Le Bois-Marie

35, route de Chartres 91440 Bures-sur-Yvette
Description

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).

 

Participants
  • Abdelkader Outtagarts
  • Adil SALIM
  • Alejandro David de la Concha Duarte
  • Alexandre Gramfort
  • Ali Mohammad-Djafari
  • Ana Julia Escobar
  • Anna Korba
  • Antoine Havet
  • Aris Tritas
  • Arnaud Serret-Larmande
  • Arthur Mensch
  • Aurélien Decelle
  • Badr-Eddine Chérief-Abdellatif
  • Badr-Eddine Chérief-Abdellatif
  • Belhal Karimi
  • Benjamin Auder
  • Benjamin Guedj
  • Benoît Choffin
  • Bertrand Thirion
  • Binh Nguyen
  • Boris Muzellec
  • Changye WU
  • Christine Dillmann
  • Claire Monteleoni
  • Claude PETIT
  • Cyril Furtlehner
  • Elisabeth Gassiat
  • Emilie Devijver
  • Flora Jay
  • François Béreux
  • Frédéric Barbaresco
  • Gabriela Ciolek
  • Germán Leiva
  • Giancarlo Fissore
  • Guillaume Charpiat
  • Guillaume Maillard
  • Hedi Hadiji
  • Henaff gilles
  • Herilalaina Rakotoarison
  • Hicham Janati
  • Illyyne Saffar
  • James Ridgway
  • Jean-Bernard Salomond
  • Jean-Michel Fourneau
  • Jiali Mei
  • Joseph Lam
  • Joseph salmon
  • José Gregorio GOMEZ GARCIA
  • Junhao WEN
  • Kamalaker DADI
  • Kaniav Kamary
  • Kevin Elgui
  • Liliana Cucu-Grosjean
  • Luc Lehéricy
  • Marc Nabhan
  • Marco Cuturi
  • Margaux Brégère
  • Martin Royer
  • Mathurin Massias
  • Melina Gallopin
  • Mohamed Ndaoud
  • Mohamed Seddik
  • Mohamed TAMAAZOUSTI
  • Monique BECKER
  • Natalia Díaz Rodríguez
  • Patricio Cerda
  • Philip Thompson
  • Philippe MESNARD
  • Pierre ALQUIER
  • Pierre-Henri OREFICE
  • Romain Couillet
  • Romain PETIT
  • Sebastian Goldt
  • Sebastien LOUSTAU
  • Sophie Donnet
  • Stefano Sarao
  • Sylvain Arlot
  • Sylvain Chevallier
  • Tsanta RANDRIATSITOHAINA
  • Umut Simsekli
  • Valérie Robert
  • Van-Ha Hoang
  • Vasily Pestun
  • Wei JIANG
  • Weiying ZHAO
  • Yannig Goude
  • Yasmina Bouzbiba
  • Yiyang Yu
  • Zakaria Chihani
  • Zhengying Liu
  • Zhenyu LIAO
    • 09:00 17:20
      Fri 19/01
      • 09:00
        Café d'accueil 1h
      • 10:00
        A random matrix approach to bigdata machine learning 50m
        Orateur: Romain Couillet (Centrale-Supéléc)
        Transparents
      • 10:50
        Pause Café 30m
      • 11:20
        Introduction aux modèles à blocs stochastiques pour la modélisation de réseaux sociaux et écologiques 50m
        Orateur: Sophie Donnet (INRA)
        Transparents
      • 12:10
        Generative Models and Optimal Transport 50m
        Orateur: Marco Cuturi (ENSAE ParisTech)
        Transparents
      • 13:00
        Déjeuner Buffet 1h 20m
      • 14:20
        Concentration of tempered posteriors and of their variational approximations 50m
        Orateur: James Ridgway (Agro ParisTech)
        Transparents
      • 15:10
        Toward a rigorous statistical framework for functional brain mapping 50m
        Orateur: Bertrand Thirion (INRIA)
        Transparents
      • 16:00
        Pause Café 30m
      • 16:30
        Ranking median regression: Learning to order through local consensus 50m
        Orateur: Anna Korba (Telecom ParisTech)
        Transparents