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Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability

Nazanin Nezami, Hadis Anahideh
Jun 3, 2026 at 04:00
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arXiv:2410.14573v2 Announce Type: replace-cross Abstract: Optimizing costly black-box functions within a constrained evaluation budget presents significant challenges in many real-world applications. Surrogate Optimization (SO) is a common resolution, yet its proprietary nature introduced by the complexity of surrogate models and the sampling...

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