Skip to content
conftrace_

shrinkage prior

5 papers

Explore in graph

Co-occurring keywords · papers mentioning both

bayesian neural network (2) uncertainty quantification (2) bayesian inference (2) bayesian learning (2) variational inference (2) infinite-dimensional optimization (1) reduced-rank regression (1) besov space (1) normal scale mixture (1) generalized beta distribution (1)

Papers

Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019 Multiple Output Regression with Latent Noise JMLR 2016 Generalized Beta Mixtures of Gaussians NeurIPS 2011