MLRG - FALL 2008

Welcome to the Machine Learning Reading Group at Brown University. We meet in CIT Room 345 on Fridays at 2pm 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 David McClosky.

If you have an ongoing or recently completed project involving machine learning, please offer to lead a session!

Date Topic Unit
September 5th A Probabilistic Approach to Language Change
Bouchard-Cote, Liang, Griffiths, and Klein (2008)
Supplemental: Bouchard-Cote, Liang, Griffiths, and Klein (2007)
Presenters: Micha Elsner and David McClosky
Warm up
September 12th Bring papers and topics! Organizational
September 19th Text Classification from Labeled and Unlabeled Documents using EM
Nigam, McCallum, Thrun, and Mitchell (ML 1999)
Semi-supervised learning
September 26th Semi-Supervised Support Vector Machines
Bennett and Demiriz (1998)

Maximum Margin Semi-Supervised Learning for Structured Variables
Altun, McAllester, and Belkin (NIPS 2005)

Semi-supervised learning
October 3rd Semi-supervised Convex Training for Dependency Parsing
Wang, Schuurmans, and Lin (ACL 2008)
Semi-supervised learning
October 10th Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
Zhu, Ghahramani, and Lafferty (2003)
Semi-supervised learning
October 17th On the Gravity Recommendation System
Takacs, PIlaszy, Nemeth, and Tikk (2007)
Collaborative filtering
October 24th The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features
Miller, Griffiths, and Jordan (UAI 2008)
Collaborative filtering
October 31st More Netflix Challege papers
Two papers (original link, contains other papers as well)
The papers are:
Jinlong Wu and Tiejun Li. A Modified Fuzzy C-Means Algorithm For Collaborative Filtering
Andreas Toescher, Michael Jahrer and Robert Legenstein. Improved Neighborhood-Based Algorithms for Large-Scale Recommender Systems.
Collaborative filtering
November 7th Closed-form Supervised Dimensionality Reduction with Generalized Linear Models
Irina Rish, Genady Grabarnilk, Guillermo Cecchi, Francisco Pereira, and Geoffrey J. Gordon (ICML 2008)
Collaborative filtering-ish?
November 14th No meeting.
November 21st Learning nonparametric policies by imitation
Grimes and Rao (IROS 2008)
Non-parametric Bayes
November 28th No meeting
Thanksgiving break
December 5th An HDP-HMM for Systems with State Persistence
Fox, Sudderth, Jordan, and Willsky (ICML 2008)
Non-parametric Bayes

Conferences and journals:


Go forth and optimize!