nonparametric bayesian models

Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Gaussian Process Volatility Model NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models NeurIPS 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006