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
Programme
9:30 - 10:30 – Alain Durmus
10:30 - 10:45 – Coffee Break
10:45 - 11:45 – Stéphanie van der Pas
11:45 - 12:45 – Arnak Dalalyan
12:45 - 14:00 – Lunch Break
14:00 - 15:00 – Elodie Vernet
15:00 - 15:15 – Coffee Break
15:15 - 16:15 – James Ridgway
16:15 - 17:15 – Peter Grünwald
Organisateurs
Jean-Bernard Salomond (UPEC), Ismael Castillo (UPMC), Pierre Alquier (CREST-ENSAE)