Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models

Abstract

Bayesian Optimization 3D visualization of Gaussian process (GP) prediction and uncertainty manifolds for a concrete compressive strength dataset, which evolved after several iterations of Bayesian optimization with a GP surrogate model. More details can be found in article 2100101 by Yee-Fun Lim, Kedar Hippalgaonkar and co-workers.