New paradigms for exploiting parallel experiments in Bayesian optimization

Article

Abstract: Bayesian optimization (BO) is one of the most effective methods for closed-loop experimental design

Palabras claves:

Bayesian optimization, High-throughput experiments, parallelization

Autores:

González L.D., Víctor M. Zavala

Fuentes:

scopus