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!
Schedule
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 |