nonparametric bayesian

A Bayesian nonparametric procedure for comparing algorithms ICML 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NeurIPS 2015 A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis ICCV 2015 Bayesian and Empirical Bayesian Forests ICML 2015 Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction AISTATS 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Particle Gibbs for Infinite Hidden Markov Models NeurIPS 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 A New Approach to Probabilistic Programming Inference AISTATS 2014 A reversible infinite HMM using normalised random measures ICML 2014 Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Non-Parametric Bayesian Constrained Local Models CVPR 2014 Nonparametric Bayesian inference on multivariate exponential families NeurIPS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 A Non-parametric Bayesian Network Prior of Human Pose ICCV 2013 Bayesian learning of joint distributions of objects AISTATS 2013