Statistical Machine Learning – Trieste

Argomenti del programma: Probabilistic and Bayesian linear regression and classification. Kernel based methods and Gaussian Processes. Graphical models and exact inference. Sampling methods. Approximate inference for models with latent variables. Generative modelling.