Sampling Methods: from MCMC to Generative Modeling
Teacher
KORBA Anna
Department: Statistics
ECTS:
3
Course Hours:
12
Tutorials Hours:
6
Language:
English
Examination Modality:
Oral+mem
Objective
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.
Planning
MCMC methods
Variational Inference
Generative Modelling