2024
DOI: 10.1109/tase.2023.3251973
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Robust Parameter Design on Dual Stochastic Response Models With Constrained Bayesian Optimization

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Cited by 3 publications
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“…BO has demonstrated great flexibility and extensive adoption. In particular, BO has been studied across different domains including hyperparameter tuning of machine learning models [23], [24], discovery of drugs [25], and A/B testing [26]. For these reasons, BO will be the primary focus of the proposed study.…”
Section: B Related Literaturementioning
confidence: 99%
“…BO has demonstrated great flexibility and extensive adoption. In particular, BO has been studied across different domains including hyperparameter tuning of machine learning models [23], [24], discovery of drugs [25], and A/B testing [26]. For these reasons, BO will be the primary focus of the proposed study.…”
Section: B Related Literaturementioning
confidence: 99%