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An Introduction to Modern
Statistical Learning
Preface
1
Introduction
I
Representation and Inference
II
Learning
6
A Mathematical Framework for Learning
6.1
Learning as optimization
6.2
Information entropy
6.3
Fitting models to data
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
III
Appendices
Chapter 6
A Mathematical Framework for Learning
6.1
Learning as optimization
6.2
Information entropy
6.3
Fitting models to data