Statistics/Learning at Paris-Saclay (2nd edition)

Name: Statistics/Learning at Paris-Saclay (2nd edition)
Start: 2017-01-19T09:00:00+01:00
End: 2017-01-19T17:50:00+01:00
Location: Le Bois-Marie

jeudi 19 janv. 2017, 09:00 → 17:50 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).

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

Contact

cecile@ihes.fr

0160926607

- 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
  
  Orateur: Isabelle Guyon
  
  Transparents
- 10:50 → 11:20
  
  Pause Café 30m
- 11:20 → 12:10
  
  Learning from MOM's principles 50m
  
  Orateur: Matthieu Lerasle
  
  Transparents
- 12:10 → 13:00
  
  Persistent homology for data: stability properties and statistical aspects 50m
  
  Orateur: Frédéric Chazal
  
  Transparents
- 13:00 → 14:20
  
  Déjeuner 1h 20m
- 14:20 → 14:30
  
  Présentation du CDS Paris-Saclay 10m
  
  Orateur: Balazs Kegl
- 14:30 → 15:20
  
  Feature clustering for extreme events analysis, with application to extreme stream-flow data 50m
  
  Orateur: Anne Sabourin
  
  Transparents
- 15:20 → 16:10
  
  Neural Networks for Natural Language Processing 50m
  
  Orateur: Alexandre Allauzen
  
  Transparents
- 16:10 → 16:40
  
  Pause café 30m
- 16:40 → 17:30
  
  New perspectives for multi-armed bandits and their applications 50m
  
  Orateur: Vianney Perchet
  
  Transparents

Choisissez le fuseau horaire

Statistics/Learning at Paris-Saclay (2nd edition)

Centre de Conférences Marilyn et James Simons

Le Bois-Marie