bayesian non-parametric

Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Bayesian Learning via Q-Exponential Process NeurIPS 2023 Bayesian Spiked Laplacian Graphs JMLR 2023 Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NeurIPS 2023 Weakly Supervised Word Segmentation for Computational Language Documentation ACL 2022 Stochastic Deep Gaussian Processes over Graphs NeurIPS 2020 Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models IJCAI 2019 A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning CoRL 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018 Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NeurIPS 2018 Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing Interspeech 2017 Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes AISTATS 2017 Chained Gaussian Processes AISTATS 2016 Bayesian Non-Parametric Inference for Manifold Based MoCap Representation ICCV 2015 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Hierarchical Cross-Clustering AISTATS 2011 Inducing Tree-Substitution Grammars JMLR 2010 Synergies in learning words and their referents NeurIPS 2010 Relational Learning with Gaussian Processes NeurIPS 2006