Nonparametric Bayesian

Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 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 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 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 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 Repulsive Mixtures NeurIPS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012