arXiv stat.ML
· Papers
Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch
arXiv:2608.00316v2 Announce Type: replace-cross Abstract: Bayesian optimization (BO) has become the standard tool for sample-efficient optimization and owes its efficiency to uncertainty-aware search driven by generic statistical priors. Richer domain priors can improve BO in principle, but encoding them through tailor