Machine Learning
and Friends at CMU

The 2005 ML talks:

December 05		Fernando Fernandez Rebollo, Probabilistic Policy Reuse in Reinforcement Learning.
November 28		Pradeep Ravikumar, Preconditioner Approximations for Probabilistic Graphical Models.
November 14		Sajid Siddiqi, Fast Inference and Learning in Large-State-Space HMMs.
November 07		Edoardo M. Airoldi, Bayesian Methods for Frequent Terms in Text: Models of Contagion and the Delta-Square Statistic.
October 31		Shyam Visweswaran, Patient-Specific Predictive Modeling.
October 24		Fernando De la Torre, Subspace Methods for Vision, Graphics and Signal Processing.
October 17		Jure Leskovec, Graphs Over Time: Densification Laws, Shrinking Diameters, Explanations And Realistic Generators.
October 10		Andreas Krause, Nonmyopic Value of Information in Graphical Models.
October 03		Nathan Ratliff, Kernel Conjugate Gradient.
September 26		ICML 2005 Conference Review Session. Pradeep Ravikumar, Integer Linear Programming Inference for Conditional Random Fields. Yan Liu, Predicting Protein Folds with Structural Repeats Using a Chain Graph Model.
September 19		KDD/UAI 2005 Conference Review Session. Jure Leskovec, Query incentive networks. Anna Goldenberg, Structured Region Graphs: Morphing EP into GBP.
September 12		UAI 2005 Conference Review Session. Vincent Conitzer, Common Voting Rules as Maximum Likelihood Estimators. Andreas Krause, A submodular-supermodular procedure with applications to discriminative structure learning.
April 25		Ricardo Silva, Rank-based search operators for learning latent variable models.
April 18		Iain Murray, Nested Sampling: a new Monte Carlo method for Bayesian computation.
April 11		John Langford, Fast Exact High Dimensional Nearest Neighbors in Arbitrary Dimensions with Cover Trees.
March 30 (Wednesday)		Yi-Feng Zeng, Block Learning Bayesian Network Structures from Data. (Venue: 4623 WH)
March 28		Carlos Guestrin, Active Reasoning in Sensor Networks.
March 21		Drew Bagnell, Robust Supervised Learning. (Venue: NSH 3001)
March 14		Talk Postponed.
February 14		Brigham Anderson, Active Learning with Hidden Markov Models.
February 07		No Talk Scheduled.
January 31		Eyal Even-dar, Experts in a Markov Decision Process.
January 24		No Talk Scheduled.
January 17		Xue Bai, Tabu Search Enhanced Graphical Models for Classification of High Dimensional Data.

The 2005 ML talks were organized by Edoardo Airoldi, Anna Goldenberg, Alexander Gray, Pradeep Ravikumar and Jerry Zhu.