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BibTeX records: Carolin Benjamins
@inproceedings{DBLP:conf/gecco/MargrafLWBHL25,
author = {Valentin Margraf and
Anna Lappe and
Marcel Wever and
Carolin Benjamins and
Eyke H{\"{u}}llermeier and
Marius Lindauer},
editor = {Bogdan Filipic},
title = {SynthACticBench: {A} Capability-Based Synthetic Benchmark for Algorithm
Configuration},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference,
{GECCO} 2025, {NH} Malaga Hotel, Malaga, Spain, July 14-18, 2025},
pages = {39--47},
publisher = {{ACM}},
year = {2025},
url = {https://doi.org/10.1145/3712256.3726330},
doi = {10.1145/3712256.3726330},
timestamp = {Sat, 09 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/gecco/MargrafLWBHL25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2506-06143,
author = {Carolin Benjamins and
Helena Graf and
Sarah Segel and
Difan Deng and
Tim Ruhkopf and
Leona Hennig and
Soham Basu and
Neeratyoy Mallik and
Edward Bergman and
Deyao Chen and
Fran{\c{c}}ois Cl{\'{e}}ment and
Matthias Feurer and
Katharina Eggensperger and
Frank Hutter and
Carola Doerr and
Marius Lindauer},
title = {carps: {A} Framework for Comparing {N} Hyperparameter Optimizers on
{M} Benchmarks},
journal = {CoRR},
volume = {abs/2506.06143},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2506.06143},
doi = {10.48550/ARXIV.2506.06143},
eprinttype = {arXiv},
eprint = {2506.06143},
timestamp = {Tue, 05 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2506-06143.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/gecco/BenjaminsCNMEL24,
author = {Carolin Benjamins and
Gjorgjina Cenikj and
Ana Nikolikj and
Aditya Mohan and
Tome Eftimov and
Marius Lindauer},
editor = {Xiaodong Li and
Julia Handl},
title = {Instance Selection for Dynamic Algorithm Configuration with Reinforcement
Learning: Improving Generalization},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference
Companion, {GECCO} 2024, Melbourne, VIC, Australia, July 14-18, 2024},
pages = {563--566},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3638530.3654291},
doi = {10.1145/3638530.3654291},
timestamp = {Sun, 19 Jan 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/gecco/BenjaminsCNMEL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2407-13513,
author = {Carolin Benjamins and
Gjorgjina Cenikj and
Ana Nikolikj and
Aditya Mohan and
Tome Eftimov and
Marius Lindauer},
title = {Instance Selection for Dynamic Algorithm Configuration with Reinforcement
Learning: Improving Generalization},
journal = {CoRR},
volume = {abs/2407.13513},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2407.13513},
doi = {10.48550/ARXIV.2407.13513},
eprinttype = {arXiv},
eprint = {2407.13513},
timestamp = {Tue, 05 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2407-13513.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2409-18827,
author = {Jannis Becktepe and
Julian Dierkes and
Carolin Benjamins and
Aditya Mohan and
David Salinas and
Raghu Rajan and
Frank Hutter and
Holger H. Hoos and
Marius Lindauer and
Theresa Eimer},
title = {ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization
in Reinforcement Learning},
journal = {CoRR},
volume = {abs/2409.18827},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2409.18827},
doi = {10.48550/ARXIV.2409.18827},
eprinttype = {arXiv},
eprint = {2409.18827},
timestamp = {Tue, 05 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2409-18827.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/BenjaminsESMDBR23,
author = {Carolin Benjamins and
Theresa Eimer and
Frederik Schubert and
Aditya Mohan and
Sebastian D{\"{o}}hler and
Andr{\'{e}} Biedenkapp and
Bodo Rosenhahn and
Frank Hutter and
Marius Lindauer},
title = {Contextualize Me - The Case for Context in Reinforcement Learning},
journal = {Trans. Mach. Learn. Res.},
volume = {2023},
year = {2023},
url = {https://openreview.net/forum?id=Y42xVBQusn},
timestamp = {Thu, 01 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tmlr/BenjaminsESMDBR23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/SchubertBDRL23,
author = {Frederik Schubert and
Carolin Benjamins and
Sebastian D{\"{o}}hler and
Bodo Rosenhahn and
Marius Lindauer},
title = {{POLTER:} Policy Trajectory Ensemble Regularization for Unsupervised
Reinforcement Learning},
journal = {Trans. Mach. Learn. Res.},
volume = {2023},
year = {2023},
url = {https://openreview.net/forum?id=Hnr23knZfY},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/tmlr/SchubertBDRL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/automl/BenjaminsR0DL23,
author = {Carolin Benjamins and
Elena Raponi and
Anja Jankovic and
Carola Doerr and
Marius Lindauer},
editor = {Aleksandra Faust and
Roman Garnett and
Colin White and
Frank Hutter and
Jacob R. Gardner},
title = {Self-Adjusting Weighted Expected Improvement for Bayesian Optimization},
booktitle = {International Conference on Automated Machine Learning, 12-15 November
2023, Hasso Plattner Institute, Potsdam, Germany},
series = {Proceedings of Machine Learning Research},
volume = {224},
pages = {6/1--50},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v224/benjamins23a.html},
timestamp = {Wed, 10 Apr 2024 18:16:37 +0200},
biburl = {https://dblp.org/rec/conf/automl/BenjaminsR0DL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/automl/MohanBWDL23,
author = {Aditya Mohan and
Carolin Benjamins and
Konrad Wienecke and
Alexander Dockhorn and
Marius Lindauer},
editor = {Aleksandra Faust and
Roman Garnett and
Colin White and
Frank Hutter and
Jacob R. Gardner},
title = {AutoRL Hyperparameter Landscapes},
booktitle = {International Conference on Automated Machine Learning, 12-15 November
2023, Hasso Plattner Institute, Potsdam, Germany},
series = {Proceedings of Machine Learning Research},
volume = {224},
pages = {13/1--27},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v224/mohan23a.html},
timestamp = {Wed, 10 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/automl/MohanBWDL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/gecco/BenjaminsR0DL23,
author = {Carolin Benjamins and
Elena Raponi and
Anja Jankovic and
Carola Doerr and
Marius Lindauer},
editor = {Sara Silva and
Lu{\'{\i}}s Paquete},
title = {Towards Self-Adjusting Weighted Expected Improvement for Bayesian
Optimization},
booktitle = {Companion Proceedings of the Conference on Genetic and Evolutionary
Computation, {GECCO} 2023, Companion Volume, Lisbon, Portugal, July
15-19, 2023},
pages = {483--486},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3583133.3590753},
doi = {10.1145/3583133.3590753},
timestamp = {Fri, 02 Aug 2024 15:50:42 +0200},
biburl = {https://dblp.org/rec/conf/gecco/BenjaminsR0DL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2304-02396,
author = {Aditya Mohan and
Carolin Benjamins and
Konrad Wienecke and
Alexander Dockhorn and
Marius Lindauer},
title = {AutoRL Hyperparameter Landscapes},
journal = {CoRR},
volume = {abs/2304.02396},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2304.02396},
doi = {10.48550/ARXIV.2304.02396},
eprinttype = {arXiv},
eprint = {2304.02396},
timestamp = {Thu, 01 May 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2304-02396.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-04262,
author = {Carolin Benjamins and
Elena Raponi and
Anja Jankovic and
Carola Doerr and
Marius Lindauer},
title = {Self-Adjusting Weighted Expected Improvement for Bayesian Optimization},
journal = {CoRR},
volume = {abs/2306.04262},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.04262},
doi = {10.48550/ARXIV.2306.04262},
eprinttype = {arXiv},
eprint = {2306.04262},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-04262.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LindauerEFBDBRS22,
author = {Marius Lindauer and
Katharina Eggensperger and
Matthias Feurer and
Andr{\'{e}} Biedenkapp and
Difan Deng and
Carolin Benjamins and
Tim Ruhkopf and
Ren{\'{e}} Sass and
Frank Hutter},
title = {{SMAC3:} {A} Versatile Bayesian Optimization Package for Hyperparameter
Optimization},
journal = {J. Mach. Learn. Res.},
volume = {23},
pages = {54:1--54:9},
year = {2022},
url = {https://jmlr.org/papers/v23/21-0888.html},
timestamp = {Wed, 11 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LindauerEFBDBRS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-04500,
author = {Carolin Benjamins and
Theresa Eimer and
Frederik Schubert and
Aditya Mohan and
Andr{\'{e}} Biedenkapp and
Bodo Rosenhahn and
Frank Hutter and
Marius Lindauer},
title = {Contextualize Me - The Case for Context in Reinforcement Learning},
journal = {CoRR},
volume = {abs/2202.04500},
year = {2022},
url = {https://arxiv.org/abs/2202.04500},
eprinttype = {arXiv},
eprint = {2202.04500},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-04500.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-11357,
author = {Frederik Schubert and
Carolin Benjamins and
Sebastian D{\"{o}}hler and
Bodo Rosenhahn and
Marius Lindauer},
title = {{POLTER:} Policy Trajectory Ensemble Regularization for Unsupervised
Reinforcement Learning},
journal = {CoRR},
volume = {abs/2205.11357},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2205.11357},
doi = {10.48550/ARXIV.2205.11357},
eprinttype = {arXiv},
eprint = {2205.11357},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2205-11357.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-01455,
author = {Carolin Benjamins and
Elena Raponi and
Anja Jankovic and
Koen van der Blom and
Maria Laura Santoni and
Marius Lindauer and
Carola Doerr},
title = {{PI} is back! Switching Acquisition Functions in Bayesian Optimization},
journal = {CoRR},
volume = {abs/2211.01455},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.01455},
doi = {10.48550/ARXIV.2211.01455},
eprinttype = {arXiv},
eprint = {2211.01455},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-01455.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2211-09678,
author = {Carolin Benjamins and
Anja Jankovic and
Elena Raponi and
Koen van der Blom and
Marius Lindauer and
Carola Doerr},
title = {Towards Automated Design of Bayesian Optimization via Exploratory
Landscape Analysis},
journal = {CoRR},
volume = {abs/2211.09678},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2211.09678},
doi = {10.48550/ARXIV.2211.09678},
eprinttype = {arXiv},
eprint = {2211.09678},
timestamp = {Tue, 05 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2211-09678.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2212-10876,
author = {Theresa Eimer and
Carolin Benjamins and
Marius Lindauer},
title = {Hyperparameters in Contextual {RL} are Highly Situational},
journal = {CoRR},
volume = {abs/2212.10876},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2212.10876},
doi = {10.48550/ARXIV.2212.10876},
eprinttype = {arXiv},
eprint = {2212.10876},
timestamp = {Tue, 05 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2212-10876.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2109-09831,
author = {Marius Lindauer and
Katharina Eggensperger and
Matthias Feurer and
Andr{\'{e}} Biedenkapp and
Difan Deng and
Carolin Benjamins and
Ren{\'{e}} Sass and
Frank Hutter},
title = {{SMAC3:} {A} Versatile Bayesian Optimization Package for Hyperparameter
Optimization},
journal = {CoRR},
volume = {abs/2109.09831},
year = {2021},
url = {https://arxiv.org/abs/2109.09831},
eprinttype = {arXiv},
eprint = {2109.09831},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2109-09831.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-02102,
author = {Carolin Benjamins and
Theresa Eimer and
Frederik Schubert and
Andr{\'{e}} Biedenkapp and
Bodo Rosenhahn and
Frank Hutter and
Marius Lindauer},
title = {{CARL:} {A} Benchmark for Contextual and Adaptive Reinforcement Learning},
journal = {CoRR},
volume = {abs/2110.02102},
year = {2021},
url = {https://arxiv.org/abs/2110.02102},
eprinttype = {arXiv},
eprint = {2110.02102},
timestamp = {Mon, 03 Mar 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-02102.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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