Šimon Soldát

Exploiting Gradients in Bayesian Inference of Expensive Simulators

It is demonstrated how incorporating gradient information into the Gaussian process surrogate accelerates Bayesian optimization-based inference under a limited simulation budget and shows significant improvement in convergence speed from using gradient information.