bayesian hierarchical model

Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Spatial meshing for general Bayesian multivariate models JMLR 2024 Bayesian Hierarchical Models for Counterfactual Estimation AISTATS 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023 ActPerFL: Active Personalized Federated Learning ACL 2022 Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures JMLR 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 HNPE: Leveraging Global Parameters for Neural Posterior Estimation NeurIPS 2021 Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NeurIPS 2021 Bayesian Hierarchical Words Representation Learning ACL 2020 CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images CVPR 2020 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Integrated Non-Factorized Variational Inference NeurIPS 2013 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012