Graphical Models

Slides in Keynote and PDF.

Content

• Directed Graphical Models

  • Basics

  • Dependence

  • Structures (HMM, factor graphs)

• Dynamic Programming

  • Chains and Trees

  • Junction Trees

  • Generalized Distributive Law

• Examples of inference

  • Overview

  • Clustering

  • Variational Inference and EM

  • Sampling

• Models

  • Hidden Markov Models

  • Supervised / Unsupervised

  • Recommender Models

• Undirected Graphical Models

  • Cliques

  • Exponential Families

  • Examples

Videos