An empirical analysis of entropy search in batch bayesian optimisation: A comprehensive study of function shape, batch size, noise level, and dimensionality impact on information-theoretic methods

Bayesian optimisation is a rapidly growing area of research that aims to identify the optimum of the black-box function, as it strategically directs the optimisation process towards promising regions. This paper provides an overview of the theoretical background used by the Entropy Search algorithms under study, mainly Predictive Entropy Search,...