Workshop 2: Sequential Learning and Applications

November 9 and 10, 2015


Main topics

The goal of this workshop is to present some recent advances in learning with sequential and dynamic data. Invited contributions will address both theoretical and practical aspects of online learning. Topics include online convex optimization, prediction with expert advice, multi-armed bandits, online combinatorial problems, recurrent neural networks, as well as recent applications for, e.g., recommender systems, information retrieval, and social media analysis.


The workshop will take place in Amphitheater Schwartz, building 1R3, Université Paul Sabatier (campus de Rangueil). The map of the campus can be downloaded here.

Practical information: useful links

     List of Invited Speakers                                                                                                               

  • Sébastien Bubeck, Microsoft
  • Nicolo Cesa-Bianchi,Università degli Studi di Milano
  • Richard Combes, Supélec
  • Moez Draïef, Huawei 
  • Ronen Eldan, Weizmann Institute of Science, Israel
  • Nicolas Grislain, AlephD
  • Jean-Bernard Lasserre, LAAS
  • Alessandro Lazaric, INRIA Lille
  • Joseph Lehec, Université Paris Dauphine
  • Odalric-Ambrym Maillard, INRIA Saclay
  • Stephano Mizzaro, University of Udine
  • Fionn Murtagh, University of Derby, Goldsmiths University of London
  • Jian-Yun Nie, Université de Montréal
  • Yann Ollivier, CNRS, Université Paris Saclay
  • Vianney Perchet, Université Paris Diderot
  • Benjamin Piwowarski, CNRS, Université Pierre et Marie Curie
  • Eric SanJuan, Laboratoire Informatique d'Avignon
  • Gilles Stoltz, CNRS and HEC Paris


This workshop is mainly organized by Aurélien Garivier, Sébastien Gerchinovitz and Josiane Mothe. It is supported by the ANR project SPADRO (ANR-13-BS01-0005) and by the ANR project ALICIA (ANR-13-CORD-0020)