dirichlet process

From Patches to Images: A Nonparametric Generative Model ICML 2017 Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017 Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text Interspeech 2017 YASS: Yet Another Spike Sorter NeurIPS 2017 CRAFT: ClusteR-specific Assorted Feature selecTion AISTATS 2016 CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data JMLR 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering Interspeech 2016 Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection Interspeech 2016 A Bayesian nonparametric procedure for comparing algorithms ICML 2015 A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models ICML 2015 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NeurIPS 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 Atomic Spatial Processes ICML 2015 Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015 Bayesian Non-Parametric Inference for Manifold Based MoCap Representation ICCV 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Manifold-valued Dirichlet Processes ICML 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015