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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

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