bayesian nonparametrics

Tree-Structured Stick Breaking for Hierarchical Data 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 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Nonlinear Models Using Dirichlet Process Mixtures JMLR 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006