Course Information


This is a 4-in-1 advanced (PhD-level) course designed for mathematically mature students who are interested in learning about various types of formal analysis frameworks and advanced algorithmic tools in machine learning. The course will explore a selected sampling of topics from the following four broad areas:
  • Statistical learning theory
  • Approximate inference methods for probabilistic (graphical) models
  • Structured prediction
  • Online learning in complex/structured domains
See the course description for more details.


Instructor

Prof. Shivani Agarwal

Lecture Times

TR 1:30-3:00

Registration

To register for the course, please fill out the form here.