Objective Bound Conditional Gaussian Process for Bayesian Optimization

                      Taewon Jeong 1 Heeyoung Kim 1

            Abstract                mation is unavailable. BO is particularly useful when the
                                objective function is expensive to evaluate. In this case,
   A Gaussian process is a standard surrogate model     grid or random search (e.g., simulated annealing and tabu
   for an unknown objective function in Bayesian       search) (Bertsimas et ...