16 nov. 2017 Paris (France)

Welcome

Bayesian methods have become increasingly popular in statistics and machine learning communities for dealing with complex problems. Because these methods are praised by practitioners, it is crucial to have a better understanding of their theoretical properties. This workshop aims at bringing together researchers working on all the aspects of Bayes modeling for complex models from risks bounds, posterior contraction, and properties of the MCMC methods used to conduct the inference.

Invited speakers :

  • Arnak Dalalyan
  • Alain Durmus
  • Peter Grunwald
  • Stéphanie van der Pas
  • James Ridgway
  • Elodie Vernet

Inscriptions

L'inscription au Workshop est gratuite mais obligatoire pour des raisons d'organisation. Vous pouvez vous inscrire en suivant ce lien. Pour le repas du midi les inscriptions sont limités à 30 personnes

Organisateurs

Jean-Bernard Salomond (UPEC), Ismael Castillo (UPMC), Pierre Alquier (CREST-ENSAE)

UPEC_logo.svg.pngupmc.jpgENSAE_logo_developpe.jpg

Personnes connectées : 1