dirichlet process

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014 Bayesian Entropy Estimation for Countable Discrete Distributions JMLR 2014 Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian learning of joint distributions of objects AISTATS 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013 Infinite Latent Conditional Random Fields for Modeling Environments through Humans RSS 2013 Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space ICML 2013 MAD-Bayes: MAP-based Asymptotic Derivations from Bayes ICML 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013