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Lucas Palazzolo

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#machine learning Preprint Sep 2026

MF-SCBO : Multi-fidelity Scalable Constrained Bayesian Optimization

This work extends the Scalable Constrained Bayesian Optimization method to the multi-fidelity setting, resulting in the MF-SCBO method, which generally achieves better convergence than both the single-fidelity SCBO and the other multi-fidelity method considered in this high-dimensional and constrained settings.

Lucas Palazzolo, M. Binois, L. Giraldi · 0 citations