Multi-StepBudgetedBayesianOptimization withUnknownEvaluationCosts

Neural Information Processing Systems 

To overcome the shortcomings of existing approaches, we propose the budgeted multi-step expected improvement, a non-myopic acquisition function that generalizes classical expected improvement to the setting of heterogeneous and unknown evaluation costs.