Course Info
Main
Outline
Lectures
Homework
Project
Reading
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