Bayesian Inference

On Sparsity and Overcompleteness in Image Models NeurIPS 2007 Optimal models of sound localization by barn owls NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 The rat as particle filter NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NeurIPS 2006 Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models NeurIPS 2006 Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NeurIPS 2006 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Bayesian Image Super-resolution, Continued NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006 Causal inference in sensorimotor integration NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Context Effects in Category Learning: An Investigation of Four Probabilistic Models NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Distributed Inference in Dynamical Systems NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006