AWhat changed
Studies covariance choices and integration over GP hyperparameters, expected-improvement-per-time acquisition and Monte Carlo fantasies for pending parallel evaluations.
Scientific scope
Studies covariance choices and integration over GP hyperparameters, expected-improvement-per-time acquisition and Monte Carlo fantasies for pending parallel evaluations. Bayesian optimization and expected improvement predate the work; the contribution is practical modeling/inference and scheduling refinements. Cost modeling assumes independence of objective and log duration in this source, and finite Monte Carlo/acquisition optimization is approximate. No universally optimal finite-budget tuner is established.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Bayesian optimization and expected improvement predate the work; the contribution is practical modeling/inference and scheduling refinements. Cost modeling assumes independence of objective and log duration in this source, and finite Monte Carlo/acquisition optimization is approximate. No universally optimal finite-budget tuner is established.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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