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horseshoe prior

10 papers

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Co-occurring keywords · papers mentioning both

bayesian inference (7) variational inference (5) graphical model (2) bayesian neural network (2) structured sparsity (2) high-dimensional regression (2) precision matrix (2) markov chain monte carlo (2) model compression (2) probabilistic model (1)

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 NeurIPS 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 NeurIPS 2013