Author

David Eriksson

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#artificial intelligence Feb 2026

BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability

BONSAI is introduced, a default-aware BO policy that prunes low-impact deviations from a default configuration while explicitly controlling the loss in acquisition value and theoretically bound the regret incurred by BONSAI.

Sam Daulton, David Eriksson, M. Balandat et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search

This work introduces Power-Law Entropy Search (PLES), a computational cost-aware acquisition function built on multi-fidelity Bayesian optimization that efficiently estimates optimal hyperparameter scaling laws through adaptive experimentation using less than one-tenth of the computational budget required by convention...

Zhiliang Chen, S. Ament, David Eriksson et al. · 1 citation