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Revision as of 22:30, 2 May 2009

CS7941: Assorted Topics in Machine Learning

Time: TBD

Location: TBD

Each week will include a discussion of 2-4 papers from a recent conference (past 24 months or so) on roughly the same topic. Your job as the presenter is to do a compare/contrast thing and teach us about some area. If you want to run your selections by me ahead of time, that's fine. If not, that's fine, too.

Please don't sign up for dates until you've chosen papers and please try to let the new students sign up first so they can get times/papers that they're most comfortable with.

Feel free to select papers from ML conferences (ICML, NIPS, UAI, etc) *or* applications conferences (ACL, CVPR, SIGIR, ISMB, etc.) but be sure that the focus in the latter case is on the machine learning, not on the application. Of course, if you'd like to choose a technical ML paper and then an applied paper and present them together, that might be even more fun!

Participants

• Hal Daumé III, Assistant Professor, School of Computing
• Piyush Rai, PhD Student, School of Computing

Schedule

Paper Summaries