Neural Global Optimization via Iterative Refinement from Noisy Samples

Qusay Muzaffar, David Levin, Michael Werman

Global optimization of black-box functions from noisy samples is a fundamental challenge in machine learning and scientific computing. Traditional methods such as Bayesian Optimiza…