Bayesian Learning

A unifying representation for a class of dependent random measures AISTATS 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 A Widely Applicable Bayesian Information Criterion JMLR 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian Fusion for Multi-Modal Aerial Images RSS 2013 Bayesian Games for Adversarial Regression Problems ICML 2013 Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013 Bayesian optimization explains human active search NeurIPS 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Context-sensitive active sensing in humans NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 Diagonal Orthant Multinomial Probit Models AISTATS 2013 Differentially Private Learning with Kernels ICML 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013 Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks ICML 2013