Frederik Rehbach

20 papers A 3B 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2023 — ch.
Case Study I: Tuning Random Forest (Ranger).
Hyperparameter Tuning for Machine and Deep Learning with R
Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach, Martin Zaefferer
2023 — ch.
Case Study II: Tuning of Gradient Boosting (xgboost).
Hyperparameter Tuning for Machine and Deep Learning with R
Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach
2023 — ch.
Case Study III: Tuning of Deep Neural Networks.
Hyperparameter Tuning for Machine and Deep Learning with R
Thomas Bartz-Beielstein, Sowmya Chandrasekaran, Frederik Rehbach
2023 — book
Enhancing Surrogate-Based Optimization Through Parallelization
Frederik Rehbach
2022 J jnl
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm.
IEEE Trans. Evol. Comput.
Frederik Rehbach, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein
2021 B conf
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic.
CEC
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021 J jnl
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis.
CoRR
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
2021 — conf
Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis.
GECCO Companion
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, A. Sen, Aleksandr Subbotin, Martin Zaefferer
2020 — conf
Continuous Optimization Benchmarks by Simulation.
PPSN (1)
Martin Zaefferer, Frederik Rehbach
2020 J jnl
Continuous Optimization Benchmarks by Simulation.
CoRR
Martin Zaefferer, Frederik Rehbach
2020 J jnl
Expected Improvement versus Predicted Value in Surrogate-Based Optimization.
CoRR
Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020 A conf
Expected improvement versus predicted value in surrogate-based optimization.
GECCO
Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020 J jnl
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic.
CoRR
Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz
2020 J jnl
Optimization of High-dimensional Simulation Models Using Synthetic Data.
CoRR
Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach, Olaf Mersmann
2020 — conf
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution.
PPSN (1)
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2020 — conf
Parallelized bayesian optimization for problems with expensive evaluation functions.
GECCO Companion
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2020 A conf
Variable reduction for surrogate-based optimization.
GECCO
Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
2019 — conf
Feature selection for surrogate model-based optimization.
GECCO (Companion)
Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
2018 J jnl
Bridging Theory and Practice Through Modular Graphical User Interfaces.
J. Multim. Process. Technol.
Frederik Rehbach, Jörg Stork, Thomas Bartz-Beielstein
2018 A conf
Comparison of parallel surrogate-assisted optimization approaches.
GECCO
Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein