bayesian nonparametrics

From Noise Modeling to Blind Image Denoising CVPR 2016 Geometric Dirichlet Means Algorithm for topic inference NeurIPS 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Nonparametric Network Models for Link Prediction JMLR 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Poisson-Gamma dynamical systems NeurIPS 2016 The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM ICML 2016 A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models ICML 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 A hybrid sampler for Poisson-Kingman mixture models NeurIPS 2015 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 Atomic Spatial Processes ICML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015 Infinite Factorial Dynamical Model NeurIPS 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015 Metadata Dependent Mondrian Processes ICML 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior JMLR 2015