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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!


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