The Portable Regime Score PRS=(B/|A|)(1-rho) captures and predicts acquisition function performance reversals in transfer Bayesian optimization, enabling a RegimePlanner that adapts and beats fixed baselines.
Hpobench: A collection of reproducible multi-fidelity benchmark problems for hpo.arXiv preprint arXiv:2109.06716
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BayMOTH unifies meta-Bayesian optimization with a usefulness-based fallback to lookahead, demonstrating competitive results on function optimization tasks even under low task relatedness.
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Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization
The Portable Regime Score PRS=(B/|A|)(1-rho) captures and predicts acquisition function performance reversals in transfer Bayesian optimization, enabling a RegimePlanner that adapts and beats fixed baselines.
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BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH
BayMOTH unifies meta-Bayesian optimization with a usefulness-based fallback to lookahead, demonstrating competitive results on function optimization tasks even under low task relatedness.