Csc2547 / Sta4273: Topics in Statistical Learning Theory

Murat A. Erdogdu, University of Toronto, Winter 2019

Lectures

Day Notes Topics
1/10 Lecture 1 Gaussian mean estimation & Stein's paradox
1/17 Lecture 2 Empirical Bayes and Exponential families
1/24 Lecture 3 Information inequality and Max entropy principle
1/31 Lecture 4 Asymptotic statistics
2/07 Lecture 5 Asymptotic statistics
2/14 Lecture 6 Uniform convergence & Generalization: Introduction
2/21 - Reading week: no lecture
2/28 Lecture 7 Epsilon-nets and covering technique
3/07 Lecture 8 Rademacher complexity I
3/14 - Rademacher complexity II
3/21 Lecture 10 Shattering coefficient & VC dimension
3/28 - Kernel methods
4/04 - Kernel methods