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pro vyhledávání: '"Buckingham, Jack"'
Bayesian optimization is a sample-efficient method for solving expensive, black-box optimization problems. Stochastic programming concerns optimization under uncertainty where, typically, average performance is the quantity of interest. In the first
Externí odkaz:
http://arxiv.org/abs/2408.17387
Multi-objective Bayesian optimization aims to find the Pareto front of trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases, it is possible to evaluate the objectives separately, and a different
Externí odkaz:
http://arxiv.org/abs/2302.01310
Akademický článek
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Multi-objective Bayesian optimization aims to find the Pareto front of optimal trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases, it is possible to evaluate the objectives separately, and a di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7606f30557b50d31b68208ecef5747c8
Autor:
Fisher, Ben J., Shiggins, Connor J., Naylor, Angus W., Rawlins, Lauren D., Tallentire, Guy D., van den Heuvel, Floor, Poku, Craig, García-Ibáñez, Maribel I., Debyser, Margot, Buckingham, Jack
The pandemic has badly affected the most diverse career stage in UK Earth sciences: early career researchers. Disrupted careers must be rescued with contingency plans, remote networks, a focus on mental health and mentor support if we are to retain d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1002::acc43441ea774510eb9768498dde4d68
https://www.nature.com/articles/s43247-021-00310-8
https://www.nature.com/articles/s43247-021-00310-8
Akademický článek
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