Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration

Hwanwoo Kim, Daniel Sanz-Alonso

This paper proposes novel noise-free Bayesian optimization strategies that rely on a random exploration step to enhance the accuracy of Gaussian process surrogate models. The new a…