surrogate-models

Bayesian optimization: how to search when every guess is expensive Lesson

Bayesian optimization is a strategy for finding the best setting of something when each trial is slow or costly: build a cheap statistical model of what you have learned so far, use it to predict both the value and the uncertainty of every untried option, then test whichever option best balances promise against ignorance.