Part II Learning

[[The four combinations of unsupervised, supervised, discriminative, and generative…. The four corresponding graphical models….]]

4 A Mathematical Framework for Learning

5 Learning Discriminative Models

6 Learning Generative Models with Latent Variables

7 Learning Invertible Generative Models

8 Learning Non-Invertible Generative Models

9 Learning with Reparameterizations

10 Learning Energy-Based Models

A Bonus Material

B Mathematical Appendix

C A Review of Probabilistic Graphical Models

Bibliography