Neural Global Optimization via Iterative Refinement from Noisy Samples

This research introduces a novel neural approach for global optimization of black-box functions using noisy samples, outperforming traditional Bayesian Optim...

Level: advanced

By Qusay Muzaffar, David Levin, Michael Werman

Category: research