2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Maria Laura Santoni, Elena Raponi, Renato De Leone +1
Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate, and hence admit only small eva…
cs.LG2022★ 1 cited
PI is back! Switching Acquisition Functions in Bayesian Optimization
Carolin Benjamins, Elena Raponi, Anja Jankovic +4
Bayesian Optimization (BO) is a powerful, sample-efficient technique to optimize expensive-to-evaluate functions. Each of the BO components, such as the surrogate model, the acquis…