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