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hierarchical bayesian

39 papers

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Co-occurring keywords

bayesian inference (1907) hierarchical bayesian model (34) variational inference (2069) few-shot learning (3398) topic modeling (461) dirichlet process (132) gibbs sampling (201) hierarchical model (271) markov chain monte carlo (725) latent dirichlet allocation (171)

Papers

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