Active learning strategies for the estimation of a feasible set defined from a vector output black-box simulator

Exploring foci of: HAL (Le Centre pour la Communication Scientifique Directe) Active learning strategies for the estimation of a feasible set defined from a vector output black-box simulator January 2025 • Clément Duhamel, Céline Helbert, Miguel Munoz Zuniga, Clémentine Prieur, Delphine Sinoquet Many industrial problems require the use of black-box numerical simulators, for which it is essential to determine the set of so-called feasible input parameters. A set of parameters is feasible if the output of the code on these parameters satisfies given constraints, for example, by remaining below a certain threshold. Active learning is an effective approach to solve this type of problem, by sequentially enriching a design of experiments using a well-chosen acquisition criterion, based here on a Gaussian proces… Open Article Page

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