A maximum cost-performance sampling strategy for multi-fidelity PC-Kriging

Multi-fidelity cost-aware Bayesian optimization

“…Other notable works are MF polynomial chaos Kriging (MF-PCK) [56] and that of Chen et al [57]. While both of these works accommodate multiple sources that are non-hierarchically ordered, they presume similar assumptions to KOH (e.g., using an additive bias), have high computational cost, and are very sensitive to the presumed priors.…”