Graphical Models

Instructor: Fabrice Rossi.

PariSantéCampus, September-December.

Probabilistic modeling, learning and inference on graphical models. The main topics covered are: Maximum likelihood. Linear regression. Logistic regression. Mixture models, partitioning. Graphical models. Exponential families. Product-sum algorithm. Hidden Markov models. Approximate inference. Bayesian methods.