Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality

Описание к видео Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality

Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality

by Artur M. Schweidtmann, Daniel Grohe, Tim Kerkenhoff, Dominik Bongartz, Xiopeng Lin, Jaromil Najman, Alexander Mitsos

Presented at 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering, 8th - 9th July 2020

Video doi: http://doi.org/10.18154/RWTH-2020-10117

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