bayesian nonparametrics

Parsimonious Bayesian deep networks NeurIPS 2018 Rectangular Bounding Process NeurIPS 2018 Robust and Scalable Models of Microbiome Dynamics ICML 2018 Stochastic Nonparametric Event-Tensor Decomposition NeurIPS 2018 Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018 The Binary Space Partitioning-Tree Process AISTATS 2018 A Birth-Death Process for Feature Allocation ICML 2017 An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 Compressed Nonparametric Language Modelling IJCAI 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Discriminative Bayesian Nonparametric Clustering IJCAI 2017 Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017 Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017 On the Model Shrinkage Effect of Gamma Process Edge Partition Models NeurIPS 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 Refinery: An Open Source Topic Modeling Web Platform JMLR 2017 Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data IJCAI 2017 A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves MLHC 2016 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 Bayesian Nonparametric Kernel-Learning AISTATS 2016 Breaking Sticks and Ambiguities with Adaptive Skip-gram AISTATS 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data JMLR 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016