A Distributional Approach towards Efficient and Versatile Bayesian Optimisation

This study improved an algorithm for optimising costly black-box systems called Bayesian optimisation. It enhanced surrogate models Bayesian optimisation uses to select samples. It also introduced a method for altering the region from which the sample can be selected. These changes increased the algorithms efficiency, potentially reducing optimisation costs.