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dirichlet process

132 papers

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Also known as

DPMM DP

Co-occurring keywords

bayesian nonparametrics (175) bayesian inference (1904) mixture model (262) variational inference (2069) nonparametric bayesian (124) bayesian nonparametric (137) gibbs sampling (201) markov chain monte carlo (724) dirichlet process mixture (24) gaussian process (1198)

Papers

Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Bayesian Nonparametric Models on Decomposable Graphs NIPS 2009
Nonlinear Models Using Dirichlet Process Mixtures JMLR 2009
Spatial Normalized Gamma Processes NIPS 2009
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NIPS 2009
Dependent Dirichlet Process Spike Sorting NIPS 2008