Sampling Methods: from MCMC to Generative Modeling
Enseignant
KORBA Anna
Département : Statistics
Crédits ECTS :
3
Heures de cours :
12
Heures de TD :
6
Langue :
Anglais
Modalité d'examen :
Oral+mem
Objectif
This course aims at presenting some fundamentals sampling techniques for Bayesian inference and Generative modeling. The emphasis will be on the techniques rather than on the theory, and these techniques will be illustrated with python codes during the course and implemented during the practical sessions.
Plan
MCMC methods
Variational Inference
Generative Modelling