@inproceedings{KononovaVSMBBBGHKKNPRRRSVZ2026Benchmarking,
  author = {Anna V. Kononova and Niki {van Stein} and Olaf Mersmann and Thomas Bäck and Thomas Bartz-Beielstein and Tobias Glasmachers and Michael Hellwig and Sebastian Krey and Jakub Kůdela and Boris Naujoks and Leonard Papenmeier and Elena Raponi and Quentin Renau and Jeroen Rook and Lennart Schäpermeier and Diederick Vermetten and Daniela Zaharie},
  title = {Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact},
  booktitle = {Applications of Evolutionary Computation},
  pages = {327--344},
  series = {Lecture Notes in Computer Science (LNCS)},
  volume = {16525},
  editor = {Pablo García-Sánchez and Álvarez Josefa Díaz and Aidan Murphy},
  year = {2026},
  publisher = {Springer Publishing},
  address = {Toulouse, Frankreich},
  isbn = {978-3-032-23607-4},
  issn = {0302-9743 (LNCS)},
  doi = {10.1007/978-3-032-23607-4_20},
  url = {https://link.springer.com/chapter/10.1007/978-3-032-23607-4_20#citeas},
  note = {Publication status: Published}
}

@inproceedings{ChengPBN2025AUnifiedFramework,
  author = {Nuojin Cheng and Leonard Papenmeier and Stephen Becker and Luigi Nardi},
  title = {A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization},
  booktitle = {Proceedings of the 42$^{nd}$ International Conference on Machine Learning (ICML)},
  pages = {10106--10120},
  series = {Proceedings of Machine Learning Research},
  volume = {267},
  editor = {Aarti Singh and Maryam Fazel and Daniel Hsu and Simon Lacoste-Julien and Felix Berkenkamp and Tegan Maharaj and Kiri Wagstaff and Jerry Zhu},
  year = {2025},
  publisher = {MLResearchPress},
  address = {Vancouver, Canada},
  issn = {1938-7228},
  doi = {10.48550/arXiv.2501.18756},
  url = {https://doi.org/10.48550/arXiv.2501.18756},
  note = {Publication status: Published}
}

@inproceedings{PapenmeierPN2025Understanding,
  author = {Leonard Papenmeier and Matthias Poloczek and Luigi Nardi},
  title = {Understanding High-Dimensional Bayesian Optimization},
  booktitle = {Proceedings of Machine Learning Research (PMLR)},
  pages = {47902--47923},
  series = {Proceedings of Machine Learning Research (PMLR)},
  volume = {267},
  editor = {Aarti Singh and Maryam Fazel and Daniel Hsu and Simon Lacoste-Julien and Felix Berkenkamp and Tegan Maharaj and Kiri Wagstaff and Jerry Zhu},
  year = {2025},
  publisher = {MLResearchPress},
  address = {Vancouver, Canada},
  isbn = {-},
  issn = {2640-3498},
  doi = {10.48550/arXiv.2502.09198},
  url = {https://arxiv.org/pdf/2502.09198},
  note = {Publication status: Published}
}

@phdthesis{Papenmeier2025BayesianOptimization,
  author = {Leonard Papenmeier},
  title = {Bayesian optimization in high dimensions --- a journey through subspaces and challenges},
  school = {Lund University},
  year = {2025},
  address = {Lund University, Lund},
  isbn = {978-91-8104-547-5},
  url = {https://lup.lub.lu.se/search/files/218696831/thesis_may_5_final.pdf},
  note = {Publication status: Published}
}

@inproceedings{PapenmeierNP2023BounceReliable,
  author = {Leonard Papenmeier and Luigi Nardi and Matthias Poloczek},
  title = {Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces},
  booktitle = {Advances in Neural Information Processing Systems},
  pages = {1764--1793},
  series = {Advances in Neural Information Processing Systems},
  volume = {36},
  editor = {A. Oh and T. Naumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
  year = {2023},
  publisher = {Curran Associates},
  address = {Red Hook, NY, United States},
  isbn = {9781713899921},
  issn = {1049-5258},
  url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/05d2175de7ee637588d1b5ced8b15b32-Paper-Conference.pdf},
  note = {Publication status: Published}
}

@inproceedings{PapenmeierNP2022Increasing,
  author = {Leonard Papenmeier and Luigi Nardi and Matthias Poloczek},
  title = {Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces},
  booktitle = {Advances in Neural Information Processing Systems 35 (NeurIPS 2022)},
  pages = {11586--11601},
  series = {Advances in Neural Information Processing Systems},
  volume = {35},
  editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
  year = {2022},
  publisher = {Curran Associates},
  address = {Red Hook, NY, United States},
  isbn = {9781713871088},
  issn = {1049-5258},
  url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/4b7439a4ab0b8e4bcb4e2412c6a10a58-Paper-Conference.pdf},
  note = {Publication status: Published}
}