Bayesian & Probabilistic

The Neural Costs of Optimal Control NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data 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 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Abstraction and Relational learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models 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 A Neural Implementation of the Kalman Filter NeurIPS 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 Belief Polarization NeurIPS 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Bayesian Network Structure Learning by Recursive Autonomy Identification JMLR 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009