Grigorios M. Chatziathanasiou

Frugal Bayesian Optimization: Scalable Surrogates for Data- and Resource-Limited Discovery

A surrogate-recommendation framework is introduced that predicts the most suitable BO surrogate from inexpensive dataset characteristics and establishes FruBO as a reproducible, compute-aware baseline for Bayesian Optimization and provides practical guidance for surrogate selection under limited computational and experimental budgets.