Four new acquisition functions are developed for Bayesian quadrature to measure and reduce prediction uncertainties in posterior and evidence estimation, extended to transitional schemes for robust performance on complex posteriors.
Acerbi, An exploration of acquisition and mean functions in Variational Bayesian Monte Carlo, in: Symposium on Advances in Approximate Bayesian Inference, PMLR, 2019, pp
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Bayesian Active Learning for Bayesian Model Updating: the Art of Acquisition Functions and Beyond
Four new acquisition functions are developed for Bayesian quadrature to measure and reduce prediction uncertainties in posterior and evidence estimation, extended to transitional schemes for robust performance on complex posteriors.