Corpus ID: 220403635

Auto-Sklearn 2.0: The Next Generation

@article{Feurer2020AutoSklearn2T,
  title={Auto-Sklearn 2.0: The Next Generation},
  author={M. Feurer and Katharina Eggensperger and Stefan Falkner and M. Lindauer and Frank Hutter},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.04074}
}
  • M. Feurer, Katharina Eggensperger, +2 authors Frank Hutter
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Automated Machine Learning, which supports practitioners and researchers with the tedious task of manually designing machine learning pipelines, has recently achieved substantial success. In this paper we introduce new Automated Machine Learning (AutoML) techniques motivated by our winning submission to the second ChaLearn AutoML challenge, PoSH Auto-sklearn. For this, we extend Auto-sklearn with a new, simpler meta-learning technique, improve its way of handling iterative algorithms and… CONTINUE READING
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