Machine Learning and Friends at Carnegie Mellon

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.