bayesian nonparametrics

Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021 Permuton-induced Chinese Restaurant Process NeurIPS 2021 A Bayesian Nonparametrics View into Deep Representations NeurIPS 2020 A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 Baxter Permutation Process NeurIPS 2020 Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior AAAI 2020 Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020 Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020 Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains NeurIPS 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 GaSPing for Utility AAAI 2020 General Latent Feature Models for Heterogeneous Datasets JMLR 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Monotonic Gaussian Process Flows AISTATS 2020 Non-exchangeable feature allocation models with sublinear growth of the feature sizes AISTATS 2020 Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020 Nonparametric Object and Parts Modeling With Lie Group Dynamics CVPR 2020 Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020 Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020 Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020 Slice Sampling for General Completely Random Measures UAI 2020 The Indian Chefs Process UAI 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020