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hierarchical bayesian model

34 papers

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hierarchical bayesian (39) bayesian inference (1907) variational inference (2069) probabilistic model (476) latent dirichlet allocation (171) mixture model (262) topic model (290) bayesian hierarchical model (15) thompson sampling (237) mcmc sampling (70)

Papers

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026
Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023
Hierarchical Bayesian Bandits AISTATS 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022
Deep Hierarchy in Bandits ICML 2022
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
Improved Shrinkage Prediction under a Spiked Covariance Structure JMLR 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information NIPS 2021
Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems NIPS 2020
Meta Learning with Relational Information for Short Sequences NIPS 2019
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes JMLR 2016
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Language-Motivated Approaches to Action Recognition JMLR 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
One-shot learning by inverting a compositional causal process NIPS 2013
A Topic Modeling Toolbox Using Belief Propagation JMLR 2012
Learning to Learn with Compound HD Models NIPS 2011