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horseshoe prior
horseshoe prior
10 papers
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bayesian inference
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variational inference
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graphical model
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bayesian neural network
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structured sparsity
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high-dimensional regression
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precision matrix
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markov chain monte carlo
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Papers
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
JMLR 2024
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity
AISTATS 2023
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
AAAI 2021
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
NIPS 2021
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination
JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior
JMLR 2020
Model Selection in Bayesian Neural Networks via Horseshoe Priors
JMLR 2019
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
ICML 2018
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
AISTATS 2017
Learning Feature Selection Dependencies in Multi-task Learning
NIPS 2013
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