Adaptive Newton-Monte Carlo for efficient and fully error controlled yield optimization. - Mona Fuhrländer; Niklas Georg; Ulrich Römer; Sebastian Schöps (CoRR, 2019)

A Blackbox Yield Estimation Workflow with Gaussian Process Regression for Industrial Problems. - Mona Fuhrländer; Sebastian Schöps (CoRR, 2020)

Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach. - Mona Fuhrländer; Sebastian Schöps (CoRR, 2020)

Efficient yield optimization with limited gradient information. - Mona Fuhrländer; Sebastian Schöps (CoRR, 2021)

Multi-Objective Yield Optimization for Electrical Machines using Machine Learning. - Morten Huber; Mona Fuhrländer; Sebastian Schöps (CoRR, 2022)

Hermite-type modifications of BOBYQA for optimization with some partial derivatives. - Mona Fuhrländer; Sebastian Schöps (CoRR, 2022)