> Do you have some resources for optimizing a N_51 x N_51 x N_51 x N_51 -> R+ unknown black-box function? Maybe Bayesian optimization? That's often how hyperp

> Do you have some resources for optimizing a N_51 x N_51 x N_51 x N_51 -> R+ unknown black-box function? Maybe Bayesian optimization? That's often how hyperparameter optimization is done in machine learning, but that has the additional constraint that each computation of the loss function is very expensive. In general the term "black-box optimization" is the right search term, or "derivative-free optimization" which is what Wikipedia calls it.