Machine Learning Reading Group
Summer 2011
Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT 345 on most Wednesdays at 2:00pm 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 |
---|---|---|
Jul 13 | Mixed Membership Sochastic Blockmodels E. Airoldi, D. Blei, S. Fienberg, E. Xing |
Dae Il Kim |
Jul 19 | Nonparametric latent feature models for link prediction K. Miller, T. Griffiths, M. Jordan |
Jason Pacheco |
Jul 27 | Statistical inference for noisy nonlinear ecological dynamic systems S. N. Wood |
Thomas Wiecki |
Aug 3 | Modeling Dyadic Data with Binary Latent Factors E. Meeds, Z. Ghahramani, R. Neal, S. Roweis |
Jason Pacheco |
Aug 17 | Online Variational Inference for the Hierarchical Dirichlet Process C. Wang, J. Paisley, D. M. Blei |
Dae Il Kim |
Aug 24 | Organizational Meeting | |
Aug 31 | ABC-EP: Expectation Propagation for Likelihood-free Bayesian Computation S. Barthelme, N. Chopin |
Jason Pacheco |
Sep 7 | A Dynamic Relational Innite Feature Model
for Longitudinal Social Networks J. Fouldsy, C. DuBoisz, A. U. Asunciony, C. T. Butts, P. Smythy |
Michael Hughes |