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