AWhat changed
Models promising versus remaining conditional configurations with density estimators and expected-improvement selection; Hyperopt packages structured stochastic search spaces, interchangeable optimizers and persistent asynchronous trials.
Scientific scope
Models promising versus remaining conditional configurations with density estimators and expected-improvement selection; Hyperopt packages structured stochastic search spaces, interchangeable optimizers and persistent asynchronous trials. Related algorithm/library lineage bundled with distinct four/three-author source bylines. TPE's density factorization limits modeling of parameter interactions; selected candidates approximate acquisition maximization. Hyperopt2013offers random search/TPE while other optimizers are future work. Parallelism trades per-evaluation efficiency for wall time; no global finite-budget guarantee.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Related algorithm/library lineage bundled with distinct four/three-author source bylines. TPE's density factorization limits modeling of parameter interactions; selected candidates approximate acquisition maximization. Hyperopt2013offers random search/TPE while other optimizers are future work. Parallelism trades per-evaluation efficiency for wall time; no global finite-budget guarantee.
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.
- Algorithms for Hyper-Parameter Optimization
- Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
Full scientific record · Browse contribution grades · Request a correction