hierarchical bayesian

FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Episodic Multi-Task Learning with Heterogeneous Neural Processes NeurIPS 2023 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Evidential Conditional Neural Processes AAAI 2023 Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 Scale-Invariant Infinite Hierarchical Topic Model ACL 2023 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Map Induction: Compositional spatial submap learning for efficient exploration in novel environments ICLR 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NeurIPS 2021 For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NeurIPS 2021 Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021 Theoretical bounds on estimation error for meta-learning ICLR 2021 Learning to Learn Variational Semantic Memory NeurIPS 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 Robust Variational Bayesian Point Set Registration ICCV 2019 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data ICML 2017 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NeurIPS 2016