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Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures., , , and . CoRR, (2023)Batch Bayesian Optimization via Particle Gradient Flows., , , and . CoRR, (2022)Probabilistic Linear Multistep Methods., , and . NIPS, page 4314-4321. (2016)Multilevel Monte Carlo for Scalable Bayesian Computations, , , , and . (2016)Pre-print.Statistical analysis of differential equations: introducing probability measures on numerical solutions., , , , and . Stat. Comput., 27 (4): 1065-1082 (2017)Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations., , , , and . Stat. Comput., 30 (3): 507-524 (2020)Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions., , , and . SIAM J. Appl. Math., 71 (3): 714-730 (2011)Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method., , and . SIAM J. Imaging Sci., 13 (2): 905-935 (2020)Gaussian processes for Bayesian inverse problems associated with linear partial differential equations., , and . Stat. Comput., 34 (4): 139 (August 2024)Weak Second Order Explicit Stabilized Methods for Stiff Stochastic Differential Equations., , and . SIAM J. Sci. Comput., (2013)