A fast Bayesian optimization method using threshold-guided marginal likelihood maximization.
problem Efficiently optimizing models with Gaussian process regression.
method Guided marginal likelihood maximization with a pre-defined threshold to reduce model selection steps.
result Significantly reduces execution time without compromising optimization quality.