COMP 640: Graduate Seminar in Machine Learning


This research seminar is intended to discuss recent advances and trends in machine learning. We will be presenting and discussing 1-2 recent technical papers each week. The focus will be on recent papers from Top Venues such as NIPS, ICML, KDD, etc. The aim is to understand the the key ideas and concepts with an aim of generalizing them and stimulating research. Whenever necessary, some concepts will be introduced for clarification and to make connections.

Grading and Logistics

Class participation and one presentation for 1 credit. In addition students can undergo a semester long project for 3 credits.


Familiarity with basics in linear algebra, probability, and machine learning is required.

Paper Assignment

Paper Assignments