Statistics/Learning at Paris-Saclay (2nd 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 topics will be presented, among which network reconstruction, natural language processing, extreme events, topological data analysis, online learning and non parametric estimation for random walks in random environment.

Organised by : Sylvain ARLOT and Guillaume CHARPIAT


Invited speakers :

Alexandre Allauzen (Université Paris-Sud, LIMSI)
Frédéric Chazal (INRIA Saclay)
Isabelle Guyon (Université Paris-Sud, LRI)
Matthieu Lerasle (CNRS, LMO)
Vianney Perchet (CMLA)
Anne Sabourin (Télécom ParisTech)

 

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

logos

 

Cette conférence a bénéficié d’un financement public Investissement d’avenir, référence ANR-11-LABX-0056-LMH, LabEx LMH (programme math-STIC).

 

Abstracts
Poster
Participants
  • Abdelkader Outtagarts
  • Alain Durmus
  • Alaoui Mohamed
  • Alexis Bismuth
  • Alonso Silva
  • Andre MANOEL
  • Andres Hoyos-Idrobo
  • Andrey Besedin
  • Anne Laure Poite
  • Antoine Havet
  • Aris Tritas
  • Benjamin Goehry
  • Bertrand Beaufils
  • chao zhang
  • Christian Schmidt
  • Christine KERIBIN
  • Claire Vernade
  • Cyril Porée
  • Damien Garreau
  • Daniela Pamplona
  • Diviyan Kalainathan
  • Elisabeth Gassiat
  • Elvis Dohmatob
  • François Gonard
  • Frederic Chazal
  • fuchen Liu
  • Gael Varoquaux
  • Genevieve Robin
  • Guillaume Charpiat
  • Gérard Burnside
  • Ines Bahram
  • Iyad Lahsen Cherif
  • Jakob Hoydis
  • Jaouad Mourtada
  • jean-noel patillon
  • Jeremy Cochoy
  • Jiali Mei
  • Jérôme Dockès
  • Karim Hebbar
  • Krystyna Biletska
  • Lacour Claire
  • Lerasle Matthieu
  • Loïc Paulevé
  • lu bian
  • Luc Lehéricy
  • Mainak Jas
  • Marine Depecker
  • Mehdi Rahim
  • Michel BARRET
  • Mina HE
  • Mohamed Ndaoud
  • MOULINES Eric
  • Mounîm A. EL YACOUBI
  • Mélina Gallopin
  • Natalia RUBANOVA
  • Nazih Benoumechiara
  • Nozha Boujemaa
  • Olivier Cappé
  • Olivier Goudet
  • Oyunchimeg SHAGDAR
  • Patrice AKNIN
  • PETIT Claude
  • Philippe CIUCIU
  • Pierre Merdrignac
  • Qianyun GUO
  • Quan Dong VU
  • Quentin Mérigot
  • Roberto Miorelli
  • Samir Tohmé
  • Sandra Astete
  • Sarah Dahab
  • Sebastien Fischman
  • Shivani Shah
  • shuai wang
  • Shufan JIANG
  • Sophie Chabridon
  • SOW MAMADOU SAMBA
  • srege retkowsky
  • Susana Iglesias Rey
  • Sylvain Arlot
  • Thomas Browne
  • Théo SAILLANT
  • Tomas LUNGENSTRASS
  • Venkat Raghav Rajagopalan
  • Victor Hatinguais
  • Xavier Artusi
  • Xiaoyi Chen
  • Yann Ollivier
  • Yousra Bekhti
  • Yulia Matveeva
  • zied zied
    • 09:00 10:00
      Café d'accueil 1h
    • 09:00 17:30
      apprentissage
    • 10:00 10:50
      Network Reconstruction: the Contribution of Challenges in Machine Learning 50m
      Speaker: Isabelle Guyon
      Transparents
    • 10:50 11:20
      Pause Café 30m
    • 11:20 12:10
      Learning from MOM's principles 50m
      Speaker: Matthieu Lerasle
      Transparents
    • 12:10 13:00
      Persistent homology for data: stability properties and statistical aspects 50m
      Speaker: Frédéric Chazal
      Transparents
    • 13:00 14:20
      Déjeuner 1h 20m
    • 14:20 14:30
      Présentation du CDS Paris-Saclay 10m
      Speaker: Balazs Kegl
    • 14:30 15:20
      Feature clustering for extreme events analysis, with application to extreme stream-flow data 50m
      Speaker: Anne Sabourin
      Transparents
    • 15:20 16:10
      Neural Networks for Natural Language Processing 50m
      Speaker: Alexandre Allauzen
      Transparents
    • 16:10 16:40
      Pause café 30m
    • 16:40 17:30
      New perspectives for multi-armed bandits and their applications 50m
      Speaker: Vianney Perchet
      Transparents
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