nonparametric bayesian

Information Rates of Nonparametric Gaussian Process Methods JMLR 2011 Logistic Stick-Breaking Process JMLR 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning the Structure of Deep Sparse Graphical Models AISTATS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009