Machine Learning Theory

CMPSCI 690M, Fall 2017

Akshay Krishnamurthy

Project Guidelines

The course project is an opportunity to explore additional topics in machine learning theory that you are especially interested in. Broadly, projects can fall into two categories.
  • Literature Survey. Conduct a literature review of research on a particular topic in machine learning theory. Provide a detailed and clear overview of results along with algorithmic and analysis techniques. Also identify possibly interesting directions for further research.
  • New Theoretical Research. Design and analyze a new machine learning algorithm, improve on analysis for an existing algorithm, or derive negative results. Any research tied to machine learning, with a theoretical flavor, is acceptable here but make sure you have a backup contingency plan.
The project will consist of three components.
  • Project Proposal (25%) -- 1-2 pages, due 10/5
  • Project Presentation (25%) -- 5 minutes presentation, in class on 12/12
  • Project Writeup (50%) -- 8 pages, due 12/19
Both documents should be in NIPS format.