Machine Learning and Friends at Carnegie Mellon

December 11 CALD Seminar scheduled.
John Lafferty, Markov Chain Monte Carlo Algorithms for Calculating Noninformative Bayesian Priors and Minimax Risk

December 11 David Cohn, The Missing Link - Probabilistic Models of Hypertext, Slides, ppt slides
December 4 CALD Seminar scheduled.
Zoubin Ghahramani (University College London), Bayesian Learning of Model Structure

November 20 Drew Bagnell, Policy Search Methods for Robustness and Exploration in Reinforcement Learning
Joelle Pineau, Hierarchical Policy Constraint for POMDP Planning and Execution, Slides, full color slides, ppt slides

November 13 Rayid Ghani, Bayesian Averaging of Classifiers and the Overfitting Problem by Pedro Domingos, Slides, ppt slides
Chuck Rosenberg, A Unified Bias-Variance Decomposition and its Applications by Pedro Domingos, Slides
October 16 Alexander Gray, 'N-Body' Problems in Statistical Learning
October 9 ICML / COLT / UAI Review, Intro Slides, Bryan's Slides, John's Slides, Daniel's Slides, Sean's Slides, Chuck's Slides
October 2 CALD Seminar scheduled.
William Cohen (WhizBang), Extracting information from the Web for Concept Learning and Collaborative Filtering
September 25 John Langford, An Improved Margin Bound, Slides
September 18 Daphne Koller (Stanford), Inference and learning in models of complex stochastic systems, Slides
May 9 No regular talk scheduled.
Check out Yoav Freund's (AT&T) talk in WeH 5409 at 3:30pm, Decision Trees, Margins and Brownian Motion
May 1 No regular talk scheduled.
Check out Maja Mataric's (USC) talk, Robot Teams and Humanoids on Their Best Behavior: Principled Behavior-Based Control and Learning
April 24 Bryan Singer, Machine Learning Meets Signal Processing Algorithm Optimization, Slides
April 18 No regular talk scheduled.
Check out Michael Kearns's (AT&T) talk in WeH 5409, A Reinforcement Learning Dialogue System
April 17 A related talk scheduled.
Check out Sridhar Rajagopalan's (IBM) talk at 3:30pm in Posner Hall 146, The web graph: structure and interpretation
April 17 Dana Angluin (Yale), Robot Localization in a Grid
April 14 No regular talk scheduled.
Check out Santosh Vempala's (MIT) talk at 3:30pm in WeH 5409, On Clusterings --- Good, Bad and Spectral, the Manjara search engine
April 14 No regular talk scheduled.
Check out Adam Kalai's Thesis Proposal at 1pm in WeH 5409, Probabilistic and On-Line Methods in Machine Learning
April 10 John Langford, Distribution Dependent PAC bounds, Slides
April 3 Kary Myers, A Boosting Approach to Topic Spotting on Subdialogues, Slides
March 20 Andrew Mccallum, Maximum Entropy Markov Models for Information Extraction and Segmentation, Slides
March 13 Bill Smart (MIT), Getting Reinforcement Learning to Work on Real Robots
March 6 Adam Berger, Learning to Summarize Web Pages, Slides
February 28 Shumeet Baluja, Opportunities for Machine Learning on the Internet
February 14 Rich Caruana, Providing Case-based Explanations for Non-Case-based Methods Such as Artificial Neural Nets or Complex Decision Trees, Slides
January 18 No regular talk scheduled.
Check out Tommi Jaakkola's (MIT) talk at 3:30pm in WeH 5409 entitled Maximum Entropy Approach to Classification with Incomplete Labels and Other Discrimination Problems