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Machine Learning Reading Group

Summer 2010

Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT 345 on most Thursdays at 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
May 27 Organizational Meeting  
Jun 10 Graphical Models for Visual Object Recognition and Tracking
Section 2.3.2, Belief Propagation (pp 69-79)
E. Sudderth, Ph.D. Thesis
Jason Pacheco
Jun 24 Sections 1-4, Pages 1-19: Introduction to Statistical Learning Theory
O. Bousquet, S. Boucheron, G. Lugosi
Jeff Miller
Jul 08 Tutorial: Techniques for Debugging MCMC Samplers

Some Useful References:
1) Chapter 11.2, 11.3
Pattern Recognition and Machine Learning
C. Bishop

2) Chapter 2.4: Monte Carlo Methods
Graphical Models for Visual Object Recognition and Tracking
E. Sudderth, Ph.D. Thesis

3)An Introduction to MCMC for Machine learning
C. Andrieu

4)Introduction to Monte Carlo Methods
D.J.C. Mackay
Micha Elsner
Aug 3 Invited Talk: Towards Decision-Theoretic Teaching: Sequential Planning Under Uncertainty in Domains Inspired By Tutoring
Emma Brunskill
Aug 12 The Infinite Factorial Hidden Markov Model
J. V. Gael, Y. W. Teh, Z. Ghahramani
Deepak Santhanam