Machine Learning Reading Group
Welcome to the Machine Learning Reading Group
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
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!
||Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Katherine A. Heller, & Zoubin Ghahramani
||Sparse stochastic inference for latent Dirichlet allocation
Mimno, Hoffman, Blei
|Dae Il Kim
||Analysis of a nonreversible Markov chain sampler.
Persi Diaconis, Susan Holmes, and Radford M. Neal.
||Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.
Anh, Korattikara, & Welling
||Revisiting k-means: New Algorithms via Bayesian Nonparametrics.
Brian Kulis and Michael Jordan
||"Belief Propagation for Structured Decision Making".
Q. Liu, A. Ihler
||"Universally Consistent Latent Position Estimation and Vertex
Classification for Random Dot Product Graphs".
Sussman, Tang, and Priebe