bayesian nonparametrics

Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NeurIPS 2015 Small-Variance Nonparametric Clustering on the Hypersphere CVPR 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015 Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015 The Human Kernel NeurIPS 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014 Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014 A reversible infinite HMM using normalised random measures ICML 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Hierarchical Dirichlet Scaling Process ICML 2014 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Rectangular Tiling Process ICML 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014