Author

Yao Xuan

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Preprint Jul 2026

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch

This work introduces agentic Bayesian optimization: a paradigm in which an LLM agent is the central decision maker in the BO loop while a Bayesian backend provides the uncertainty-aware optimization substrate, and demonstrates the practical value of agentic BO in dynamic settings.

Paul Brunzema, Louis C. Tiao, Nhat Le et al. · 0 citations