Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
relatively small number of function evaluations, making it ideal for hyperparameter tuning and other optimization tasks where function evaluations are costly. Surrogate model The surrogate model (SM) is a probabilistic estimator that can fit the observed data points and quantify the uncertainty of