Fall 2006 - ML Reading Group: Previous Semester Papers

This semester's Papers (Fall 2006)

Aug 11
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng "Using Inaccurate Models in Reinforcement Learning"
Aug 18
Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken "Statistical Debugging: Simultaneous Identification of Multiple Bugs "
Aug 25
Konidaris, Barto "Autonomous Shaping: Knowledge Transfer in Reinforcement Learning"
Sept 1
Strehl, Li, Wiewiora, Langford, Littman "PAC Model-free Reinforcement Learning"
Sept 8
Strehl, Li, Wiewiora, Langford, Littman "(Continuing) PAC Model-free Reinforcement Learning"
Sept 15
Nir Friedman and Daphne Koller "Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks".
Oct 6
Neil Lawrence "Gaussian process latent variable models for visualisation of high dimensional data".
Oct 20
Swarup, Ray "Cross Domain Knowledge Transfer Using Structured Representations"
Oct 27
Christopher Hundt, Prakash Panagaden, Joelle Pineau, and Doina Precup "Representing Systems with Hidden State"
Nov 3
Continuing... Christopher Hundt, Prakash Panagaden, Joelle Pineau, and Doina Precup "Representing Systems with Hidden State"
Nov 10
David Blei, John Lafferty "Dynamic Topic Models"
Nov 17
Conitzer, Garera "Learning Algorithms for Online Principal-Agent Problems (and Selling Goods Online)"
Nov 24
Cancelled due to Thanksgiving
Dec 1
(cancelled).
Dec 8
Moon-Ho Ringo Ho, Robert Shumway and Hernando Ombao, "The State-Space approach to Modeling Dynamic Processes".