AI RESEARCH

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

arXiv CS.LG

ArXi:2410.14573v2 Announce Type: replace 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