hierarchical dirichlet process

A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Manipulation Pattern Discovery: A Nonparametric Bayesian Approach ICCV 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Learning to Learn with Compound HD Models NeurIPS 2011 Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Collapsed Variational Inference for HDP NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007