Kernel-based guarantees for nonlinear parametric models in Bayesian optimization

Rafael Oliveira

Modern Bayesian optimization and adaptive sampling methods increasingly rely on nonlinear parametric models, yet theoretical guarantees for such models under adaptive data collecti…