Description

This research seminar is intended to discuss advanced topics in machine learning. We will be presenting and discussing one technical paper each week with the goal of better analyzing and generalizing some techniques and stimulating research. The choice of the paper is left to the speaker. The presentation should be clear, concise, and made accessible to all the audience. When necessary, some concepts will be introduced to clarify some methods and to make connections with others. Occasionally, external speakers will be invited to come and present their work. An expected outcome of the seminar is research publications in areas related to machine learning.

This semester, in addition to the usual talks and discussions, we will have reading sessions for the following book: Prediction, learning, and games, by Nicolo Cesa-Bianchi and Gabor Lugosi.

Location and Time

Room 1314 Warren Weaver Hall,
Warren Weaver Hall,
251 Mercer Street.
Tuesdays 1:45 PM - 3:45 PM.

Prerequisite

Familiarity with basics in linear algebra, probability, and analysis of algorithms. Interest in theoretical and applied machine learning.

Projects and Assignments

Participants are expected to study and present one or several technical papers. The final grade will be based on participation, the quality of the presentations, and potential publications.