EECS 497 - Advanced Topics in Computational Learning Theory
Northwestern University
Spring 2019

This course will cover advanced topics in computational learning theory. Students will present papers and discuss open problems.
The prerequisite is EECS 496-10: Computational Learning Theory, or equivalent preparation.

Basic Information

Instructor: Lev Reyzin
Syllabus: TBD
Time and Location: W 9:30am-12:20pm, Tech M166


Each registered student is expected to present two papers (approximated for 30 minutes each) duing the course of the quarter and to produce a short write-up about his or her attempts at an open problem that was presented or discussed in class.