COMS 4773 Fall 2026

COMS 4773 is a graduate-level introduction to machine learning theory.

Course information

Time: Tue/Thu 1:10pm–2:25pm
Venue: 413 Kent Hall
Instructor: Daniel Hsu
Teaching assistants: Noah Bergam, Nikhil Mudumbi
Office hours:
- Mon 1:00pm–3:00pm (Noah, 407 Mudd)
- Tue 2:35pm–4:35pm (Daniel, 426 Mudd)
- TBD (Nikhil, TBD)
Links: Syllabus, Courseworks, EdStem, Gradescope

I am not managing the course waitlist; it is managed by CS Advising. See the CS Course Registration Policy for more information.

09/08: Course overview; using expert advice
- PS0, due 9/17 at 11:59pm
09/10: Using expert advice
- Reading: Avrim Blum’s survey article (Section 2)
09/15: Online allocation
- Reading: Freund and Schapire’s Hedge paper (Sections 2 and 3)
09/17:
09/22:
09/24:
09/29:
10/01:
10/06:
10/08:
10/13:
10/15:
10/20:
10/22:
10/27:
10/29:
11/03: Holiday (no lecture)
11/05: Midterm exam (in-class)
11/10:
11/12:
11/17:
11/19:
11/24:
11/26: Holiday (no lecture)
12/01:
12/03:
12/08:
12/10:
12/22: Final exam (at noon; registrar’s projection)