Baysian numerical integration with neural networks

Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol

Abstract: Bayesian probabilistic numerical methods for numerical integration offer significant advantages over their non-Bayesian counterparts: they can encode prior information about the integrand, and can ...