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Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness., , and . J. Mach. Learn. Res., (2021)Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees., , , and . NIPS, page 1162-1170. (2015)Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?"., , , , and . CoRR, (2018)The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks., , and . J. Mach. Learn. Res., (2021)Geometry and Dynamics for Markov Chain Monte Carlo., , , and . CoRR, (2017)On the Sampling Problem for Kernel Quadrature., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 586-595. PMLR, (2017)Bayesian Quadrature for Multiple Related Integrals., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5369-5378. PMLR, (2018)Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models., , , , and . NIPS, page 110-118. (2017)Stein Point Markov Chain Monte Carlo., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1011-1021. PMLR, (2019)Stein Points., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 843-852. PMLR, (2018)