Solving Black Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
This paper describes our approach to solving the black box optimization challenge through learning search space partition for local Bayesian optimization. We develop an algorithm for low budget optimization. We further optimize the hyperparameters of our algorithm using Bayesian optimization. Our approach has been ranked 3rd in the competition.
NeurIPS