Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT Room 345 on some Fridays at noon 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 summer is David McClosky.
If you have an ongoing or just-completed project involving machine learning, please offer to lead a session!
| Date | Topic | Discussion leaders |
|---|---|---|
| June 6th | Statistics Primer I Kim, S.-P., Wood, F., Fellows, M., Donoghue, J. P., Black, M. J. (2006) ("not a primer, but it uses methods that are worth talking about: parametric tests for multivariate gaussians and the two-sample Kolmogorov-Smirnov test for comparing arbitrary univariate distributions") |
David Hirshberg |
| June 13th | Statistics Primer II Smucker, Allan, and Carterette (2007) |
Matt Lease |
| June 20th | Break |
|
| June 27th | Centroid estimation in discrete high-dimensional spaces with applications in biology Carvalho and Lawrence (2008) |
Luis Carvalho |
| July 11th | Fields of Experts: A framework for learning image priors Roth and Black (2005) Some slides |
Deqing Sun and Jason Pacheco |
| July 25th | The asymptotics of semi-supervised learning in discriminative probabilistic models Sokolovska, Cappe, and Yvon (ICML 2008) |
Everyone |
| August 8th | Learning Optical Flow Sun, Roth, Lewis, and Black (ECCV 2008) |
Deqing Sun |
| August 22th | Inverse Reinforcement Learning ICML 2004 supplements |
Dan Grollman |
Conferences and journals:
Links: