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.)