Machine Learning Reading Group
Spring 2012
Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT 345 on most Thursdays a 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 |
|---|---|---|
| Mar 15 | Efficient Inference in Fully Connected CRFs with
Gaussian Edge Potentials P. Krahenbuhl, V. Koltun |
Soumya Ghosh |
| Mar 22 | Modelling Genetic Variations using Fragmentation-Coagulation Processes Y. W. Teh, C. Blundell, L. Elliott |
Dae Il Kim |
| Mar 28 | Spring Break: No Meeting | |
| Apr 5 | Additive Gaussian Processes D. Duvenaud, H. Nickisch, C. Rasmussen |
Jason Pacheco |
| Apr 12 | Mixed Membership Stochastic Blockmodels D. Duvenaud, H. Nickisch, C. Rasmussen JMLR Article, NIPS Paper NOTE: For this meeting the focus will be on the Mean Field inference for the MMSB. We read this paper in Fall11 but skipped over the inference. |