bayesian nonparametrics

Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Stochastic Variational Inference JMLR 2013 A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012 An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012 A nonparametric variable clustering model NeurIPS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011