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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Bayesian Policy Learning with Trans-Dimensional MCMC
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Learning with Transformation Invariant Kernels
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Statistical Analysis of Semi-Supervised Regression
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Resampling Methods for Protein Structure Prediction with Rosetta
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Structured Learning with Approximate Inference
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Convex Clustering with Exemplar-Based Models
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Learning Monotonic Transformations for Classification
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Discriminative Log-Linear Grammars with Latent Variables
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Mon Dec 03 08:10 PM -- 08:25 PM (PST)
Regret Minimization in Games with Incomplete Information
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