@article{journals/jmlr/LindauerEFBDBRS22,
  added-at = {2024-09-11T00:00:00.000+0200},
  author = {Lindauer, Marius and Eggensperger, Katharina and Feurer, Matthias and Biedenkapp, André and Deng, Difan and Benjamins, Carolin and Ruhkopf, Tim and Sass, René and Hutter, Frank},
  biburl = {https://www.bibsonomy.org/bibtex/2b7364bc8d62522b3434dfcbeb6f1388f/dblp},
  ee = {https://jmlr.org/papers/v23/21-0888.html},
  interhash = {97a4dd60bc424859299f536a94ca9bff},
  intrahash = {b7364bc8d62522b3434dfcbeb6f1388f},
  journal = {J. Mach. Learn. Res.},
  keywords = {dblp},
  pages = {54:1-54:9},
  timestamp = {2024-09-16T07:05:34.000+0200},
  title = {SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.},
  url = {http://dblp.uni-trier.de/db/journals/jmlr/jmlr23.html#LindauerEFBDBRS22},
  volume = 23,
  year = 2022
}

@article{noauthororeditor,
  added-at = {2022-11-17T12:04:48.000+0100},
  author = {Lindauer, Marius and Eggensperger, Katharina and Feurer, Matthias and Biedenkapp, André and Deng, Difan and Benjamins, Carolin and Ruhkopf, Tim and Sass, René and Hutter, Frank},
  biburl = {https://www.bibsonomy.org/bibtex/2b594ae7bfa734916f13827ff65708b9c/ail3s},
  interhash = {97a4dd60bc424859299f536a94ca9bff},
  intrahash = {b594ae7bfa734916f13827ff65708b9c},
  journal = {Journal of Machine Learning Research 23 (2022)},
  keywords = {automl leibnizailab myown},
  pages = { 1-9},
  timestamp = {2022-11-18T12:52:02.000+0100},
  title = {SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization},
  year = 2022
}