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An Introduction to Modern Statistical Learning
Preface
1 Introduction
I Representation and Inference
II Learning
III Appendices

Part II Learning

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

6 A Mathematical Framework for Learning

7 Learning Discriminative Models

8 Learning Generative Models with Latent Variables

9 Learning Invertible Generative Models

10 Learning Non-Invertible Generative Models

11 Learning with Reparameterizations

12 Learning Energy-Based Models