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A new acquisition function for robust Bayesian optimization of unconstrained problems2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
1citations -
Model-Guided Local Bayesian Optimization for Tuning of Interpretable Controllers in Injection Molding2026 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Engineering Injection Molding Process and Properties Open access
Jens Ahlers, Robert Göllinger, Xu Chen, Heike Vallery, Sebastian Stemmler
0citations -
Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality : July 8th, 2020 ; Cambridge2020 RWTH Publications (RWTH Aachen) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access
Artur M. Schweidtmann, Tim Kerkenhoff, Dominik Bongartz, Xiaopeng Lin, Jaromił Najman, Alexander Mitsos
1citations -
Lipschitz Safe Bayesian Optimization for Automotive Control2024 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research
Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe
1citations -
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, +1 more
12citations -
Fully Automated Global Powertrain Optimization for Electric Truck Using Active Learning Algorithm and Backwards Simulation Approach2025 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Electric and Hybrid Vehicle Technologies
Bicheng Chen, Christoph Wellmann, Feihong Xia, René Savelsberg, Jakob Andert, Stefan Pischinger
2citations -
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment2023 Winter Simulation Conference conference-paper Computer Science Reinforcement Learning in Robotics
Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek
2citations -
Powertrain Optimization of Indian City Electric Bus Using Active Learning Simulation Methodology2026 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Electric and Hybrid Vehicle Technologies
Rouble Sandhu, Bicheng Chen, Ashraf Emran, Feihong Xia, Xiao Lin, Sushil Berry
0citations -
Optimizing Causal Interventions in Hybrid Bayesian Networks2024 Lecture notes in networks and systems conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more
1citations