Probabilistic Modeling

The Multidimensional Wisdom of Crowds NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Variational Relevance Vector Machine for Tabular Data ACML 2010 Why are DBNs sparse? AISTATS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009