Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
arXiv:2605.13160v1 Announce Type: new
Abstract: Modern Bayesian optimization and adaptive sampling methods increasingly rely on nonlinear parametric models, yet theoretical guarantees for such models under adaptive data collection remain limited. Exis…