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hierarchical prior

19 papers

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Co-occurring keywords

variational inference (2069) bayesian inference (1907) gaussian process (1200) bayesian neural network (201) variational autoencoder (1288) latent representation (418) hierarchical model (271) posterior distribution (259) feature selection (649) bayesian learning (185)

Papers

ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders WACV 2025
Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023
Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
Bayesian Hierarchical Words Representation Learning ACL 2020
Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019
Learning Hierarchical Priors in VAEs NIPS 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression NIPS 2018
VAE with a VampPrior AISTATS 2018
Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Sparse Bayesian structure learning with “dependent relevance determination” priors NIPS 2014
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Bayesian active learning with localized priors for fast receptive field characterization NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012