Machine Learning Reading Group
Fall 2010
Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT 345 on most Thursdays at 12:00pm and are open to all students and faculty. (If you can't make this time, please email the group leader.) MLRG meetings and other news are announced via posts to the ML-READING-GROUP list. You can subscribe here. The MLRG leader this semester is Jason Pacheco. If you have an ongoing or just-completed project involving machine learning, please offer to lead a session!
Schedule
| Date | Topic | Discussion leaders |
|---|---|---|
| Sep 9 | Organizational Meeting | |
| Sep 16 | Modeling Interaction via the Principle of Maximum Causal Entropy B. D. Ziebart, J. A. Bagnell, A. K. Dey |
Jason Pacheco |
| Sep 23 | Gaussian Process Topic Models A. Agovic, A. Banerjee |
Dae Il Kim |
| Sep 30 | Distance dependend Chinese restaurant processes D. Blei, P. Frazier |
Micha Elsner |
| Oct 7 | Linearly-solvable Markov decision problems E. Todorov |
Jason Pacheco |
| Oct 14 | An Alternative Prior Process for Nonparametric Bayesian Clustering H. M. Wallach, S. T. Jensen, L. Dicker, K. A. Heller ( slides ) |
Soumya Ghosh |
| Oct 28 | A Nonparametric Information Theoretic Clustering Algorithm L. Faivishevsky, J. Goldberger |
|
| Nov 5 | Supervised topic models D. Blei, J. McAuliffe |
Mike Hughes |