Latent Variable Model Templates

Content

• Sets

  • Clusters
  • Trees (and hierarchical clustering)
  • Topics (and mixtures)
  • Supervised variants

• Chains

  • Markov models
  • Simplical mixtures
  • Semi-Markov models

• Factorizations

  • Latent Factor models
  • Hierarchical topic models
  • Recommender systems revisited

Supplementary material

See the syllabus for a detailed overview of the topics covered.