A surrogate trained with Sobolev learning accelerates a finite-difference derivative-free method, with a complexity bound that improves with the average number of successful surrogate steps.
Abdalla, Azizallah Izady, Mohammad Reza Nikoo, and Ali Al- Maktoumi
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Enhancing finite-difference based derivative-free optimization methods with machine learning
A surrogate trained with Sobolev learning accelerates a finite-difference derivative-free method, with a complexity bound that improves with the average number of successful surrogate steps.