CS-7545 Machine Learning Theory, Fall 2016
Tue-Thu 9:35am – 10:55am, CoC 102.
Topics (pre-reqs: graduate algorithms; familiarity with linear algebra, probability):
- Unsupervised Learning
- Supervised Learning
- Online Learning
- Statistical Query Learning
- Contemporary models
Instructor: Santosh Vempala
Office Hours: Tue 11am – 12pm in Klaus 2222 or by appointment.
TA: Samira Samadi. Office hours: Wed 12-2pm in Klaus common area between 2116 and 2124 .
Grading: 2 midterms: 50%, 4 HWs: 50%.