Badr-eddine CHERIEF-ABDELLATIF – Theoretical study of variational inference: foundations & recent advances

Carte non disponible

Date/heure
Date(s) - 04/11/2019
14 h 00 min - 16 h 00 min

Catégories Pas de Catégories


Badr-eddine CHÉRIEF-ABDELLATIF (CREST-ENSAE, Paris)

Bayesian inference provides an attractive learning framework to analyze and to sequentially update knowledge on streaming data, but is rarely computationally feasible in practice. In the recent years, variational inference (VI) has become more and more popular for approximating intractable posterior distributions in Bayesian statistics and machine learning. Nevertheless, despite promising results in real-life applications, only little attention has been put in the literature towards the theoretical properties of VI. In this talk, we aim to present some recent advances in theory of VI. We will show that variational inference is consistent under mild conditions and retains the same properties than exact Bayesian inference, and we will present several applications to illustrate our general results. We will also briefly discuss some extensions of these results.

https://badreddinecheriefabdellatif.github.io

Olivier CHABROL
Posts created 14

Articles similaires

Commencez à saisir votre recherche ci-dessus et pressez Entrée pour rechercher. ESC pour annuler.

Retour en haut
Secured By miniOrange