Collaborative Bayesian Optimization Leveraging Human Expertise for Engineering System Design

Bayesian optimization can efficiently optimize expensive-to-evaluate functions, but often overlooks valuable insights from domain experts. This work presents a collaborative approach that enables experts to influence the selection of experiments, improving convergence, accountability, and interpretability.