%0 Conference Paper %1 EggMue2021 %A Eggensperger, Katharina %A Müller, Philipp %A Mallik, Neeratyoy %A Feurer, Matthias %A Sass, René %A Klein, Aaron %A Awad, Noor %A Lindauer, Marius %A Hutter, Frank %B Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track) %D 2021 %K HPOBench Multi-Fidelity Reproducible leibnizailab myown %T HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO %U https://arxiv.org/abs/2109.06716

@inproceedings{EggMue2021, added-at = {2021-12-09T11:58:45.000+0100}, author = {Eggensperger, Katharina and M{\"u}ller, Philipp and Mallik, Neeratyoy and Feurer, Matthias and Sass, René and Klein, Aaron and Awad, Noor and Lindauer, Marius and Hutter, Frank}, biburl = {https://www.bibsonomy.org/bibtex/27b82f203060537907de38d68ca7a2f11/tntl3s}, booktitle = {Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track)}, interhash = {5cb12b893c197cc2f15116324c956442}, intrahash = {7b82f203060537907de38d68ca7a2f11}, keywords = {HPOBench Multi-Fidelity Reproducible leibnizailab myown}, month = dec, timestamp = {2021-12-09T11:58:45.000+0100}, title = {HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO}, url = {https://arxiv.org/abs/2109.06716}, year = 2021 }