BAYESIAN OPTIMISATION FOR DIFFERENT ML ESTIMATORS
Bayesian optimization is a sequential design strategy for global optimization of black-box functions that
does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.