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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!


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.