The figure shows the resampling stage of the experimental pipeline as the element subject to Bayesian optimization. After optimization based on 12 iterations using sub-samples on n = 80 and assessed ...

ABSTRACT This paper proposes a novel probabilistic approach for multidisciplinary design optimization (MDO) under uncertainty, especially for systems with feedback coupled analyses with multiple ...

Many-task optimization typically assumes that all data is available on a single device without taking into account privacy concerns. Federated many-task optimization, which involves using data from ...

At its F8 developer conference, Facebook today launched Ax and BoTorch, two new open-source AI tools. BoTorch, which, as the name implies, is based on PyTorch, is a library for Bayesian ...