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2018

  • Falkner, Stefan and Klein, Aaron and Hutter, Frank (published)(pdf)(supplementary)(poster)(bib)
    BOHB: Robust and Efficient Hyperparameter Optimization at Scale
    In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018)
  • Zela, Arber and Klein, Aaron and Falkner, Stefan and Hutter, Frank (pdf)(poster)(bib)
    Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
    In: ICML 2018 AutoML Workshop
  • Ilg, Eddy and Cicek, Oezguen and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas (arXiv)(pdf)(bib)
    Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
    In: Proceedings of ECCV 2018

2017

  • Falkner, S. and Klein, A. and Hutter, F. (pdf)(bib)
    Combining Hyperband and Bayesian Optimization
    In: NIPS 2017 Bayesian Optimization Workshop
  • Klein, A. and Falkner, S. and Mansur, N. and Hutter, F. (pdf)(bib)
    RoBO: A Flexible and Robust Bayesian Optimization Framework in Python
    In: NIPS 2017 Bayesian Optimization Workshop
  • Greff, K. and Klein, A. and Chovanec, M. and Hutter, F. and Schmidhuber, J. (pdf)(bib)
    The Sacred Infrastructure for Computational Research
    In: Proceedings of the 15th Python in Science Conference (SciPy 2017)
  • Klein, A. and Falkner, S. and Springenberg, J. T. and Hutter, F. (pdf)(bib)
    Learning Curve Prediction with Bayesian Neural Networks
    In: International Conference on Learning Representations (ICLR) 2017 Conference Track
  • Klein, A. and Falkner, S. and Bartels, S. and Hennig, P. and Hutter, F. (pdf)(bib)
    Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
    In: Proceedings of the AISTATS conference
  • Klein, A. and Falkner, S. and Bartels, S. and Hennig, P. and Hutter, F. (pdf)(bib)
    Fast Bayesian hyperparameter optimization on large datasets
    In: Electronic Journal of Statistics

2016

  • Springenberg, J. T. and Klein, A. and Falkner, S. and Hutter, F. (pdf)(supplementary)(bib)
    Bayesian optimization with robust Bayesian neural networks
    In: Advances in Neural Information Processing Systems 29
  • Mendoza, H. and Klein, A. and Feurer, M. and Springenberg, J. and Hutter, F. (pdf)(poster)(bib)
    Towards Automatically-Tuned Neural Networks
    In: ICML 2016 AutoML Workshop

2015

  • Klein, A. and Bartels, S. and Falkner, S. and Hennig, P. and Hutter, F. (pdf)(bib)
    Towards efficient Bayesian Optimization for Big Data
    In: NIPS 2015 Bayesian Optimization Workshop
  • Feurer, M. and Klein, A. and Eggensperger, K. and Springenberg, J. and Blum, M. and Hutter, F. (preprint)(published)(supplementary)(poster)(bib)
    Efficient and Robust Automated Machine Learning
    In: Advances in Neural Information Processing Systems 28
  • Feurer, M. and Klein, A. and Eggensperger, K. and Springenberg, J. and Blum, M. and Hutter, F. (pdf)(poster)(slides)(bib)
    Methods for Improving Bayesian Optimization for AutoML
    In: ICML 2015 AutoML Workshop