dirichlet process

Hierarchical infinite relational model UAI 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021 Learner-Private Convex Optimization ICML 2021 Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021 Nonparametric Decomposition of Sparse Tensors ICML 2021 A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 Graph Embedded Pose Clustering for Anomaly Detection CVPR 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Nonparametric graphical model for counts JMLR 2020 On Application of Bayesian Parametric and Non-parametric Methods for User Cohorting in Product Search ACL 2020 Calibrated Approximate Bayesian Inference ICML 2019 Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019 DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019 Interaction Detection with Bayesian Decision Tree Ensembles AISTATS 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 Efficiently Sampling from Underlying Models RSS 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain EMNLP 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data IJCAI 2017 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NeurIPS 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Discriminative Bayesian Nonparametric Clustering IJCAI 2017