bayesian nonparametrics

The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A unifying representation for a class of dependent random measures AISTATS 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013 Dependent Normalized Random Measures ICML 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013 Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013 Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013 MAD-Bayes: MAP-based Asymptotic Derivations from Bayes ICML 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013