PhD course in Machine Learning Theory

Title:
Machine Learning Theory.

Organizer:
Ninh Pham (ndap@itu.dk).

Course description:
We are organizing bi-weekly meeting on research topics in Machine Learning Theory. The topics should focus on theoretical aspects of machine learning. We plan to follow the content of the course Machine Learning Theory at Carnegie Mellon University (CMU) and the textbook An introduction to Computational Learning Theory by Michael Kearns and Umesh Vazirani.

Course website:
Can be found here.

Dates of the course:
April 11th, April 25th, May 9th, June 6th.

Time:
Wednesday 9.30-11.59 AM.

Location:
IT University, room 4A09.

Credits:
2,5 ECTS.

Exam:
In order to pass the course the student should do the main presentation and leading of discussion at one of the meetings.

Sign Up:
Please contact Ninh Pham to sign up for the seminar.