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Machine Learning Reading Group

Summer 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
Jul 15 Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Katherine A. Heller, & Zoubin Ghahramani
Mike Hughes
Jul 26 Sparse stochastic inference for latent Dirichlet allocation
Mimno, Hoffman, Blei
Dae Il Kim
Aug 2 Analysis of a nonreversible Markov chain sampler.
Persi Diaconis, Susan Holmes, and Radford M. Neal.
Jeff Miller
Aug 9 Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.
Anh, Korattikara, & Welling
Thomas Wiecki
Aug 16 Revisiting k-means: New Algorithms via Bayesian Nonparametrics.
Brian Kulis and Michael Jordan
Mike Hughes
Aug 23 "Belief Propagation for Structured Decision Making".
Q. Liu, A. Ihler
Jason Pacheco
Aug 29 "Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs".
Sussman, Tang, and Priebe
Jason Pacheco