most citedAdaptive Gaussian Process Regression for Bayesian inverse problems

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math.NA2024★ 1 cited

Adaptive Gaussian Process Regression for Bayesian inverse problems

Paolo Villani, Jörg Unger, Martin Weiser

We introduce a novel adaptive Gaussian Process Regression (GPR) methodology for efficient construction of surrogate models for Bayesian inverse problems with expensive forward mode…