bayesian inference

Restricting exchangeable nonparametric distributions NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling ICCV 2013 Slice Sampling Particle Belief Propagation ICCV 2013 Smooth Operators ICML 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Stochastic Deconvolution CVPR 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 The Extended Parameter Filter ICML 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NeurIPS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian Classifier Combination AISTATS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012