Csc2547 / Sta4273: Topics in Statistical Learning Theory

Murat A. Erdogdu, University of Toronto, Winter 2019

This course covers several topics in machine learning theory and optimization.

Topics include (according to time and interest):

Gaussian mean estimation
Asymptotics
Concentration inequalities
Uniform convergence
Online learning
Kernel methods
Sampling and optimization

Class meets on Thursday 2-4 pm @AB 107 (50 St. George St.)

Announcements

Final project reports should be submitted by April 15.
Homework 3 is out. Due Apr 4 in class.
Due date for HW2 is extended to Mar 25 1pm.
Homework 2 is out. Due Mar 21 in class.
No class in the reading week.
Homework 1 is out. Due Feb 7 in class.
Homework 0 is posted.