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2017

  • Biedenkapp, A. and Lindauer, M. and Eggensperger, K. and Fawcett, C. and Hoos, H. and Hutter, F. (pdf)(bib)
    Efficient Parameter Importance Analysis via Ablation with Surrogates
    In: Proceedings of the AAAI conference

2016

  • Meinel, A. and Eggensperger, K. and Tangermann, M. and Hutter, F. (pdf)(bib)
    Hyperparameter Optimization for Machine Learning Problems in BCI (Abstract)
    In: Proceedings of the International Brain Computer Interface Meeting 2016
  • Schubert, T. and Eggensperger, K. and Gkogkidis, A. and Hutter, F. and Ball, T. and Burgard, W. (pdf)(bib)
    Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture
    In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'16)
    Video showing the results of the optimization procedure

2015

  • 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
  • Katharina Eggensperger and Frank Hutter and Holger H. Hoos and Kevin Leyton-Brown (pdf)(poster)(bib)
    Efficient Benchmarking of Hyperparameter Optimizers via Surrogates
    In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence

2014

  • Katharina Eggensperger and Frank Hutter and Holger H. Hoos and Kevin Leyton-Brown (pdf)(slides)(bib)
    Surrogate Benchmarks for Hyperparameter Optimization
    In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel)
    Superseeded by the AAAI15 paper Efficient Benchmarking of Hyperparameter Optimizers via Surrogates

2013

  • Katharina Eggensperger and Matthias Feurer and Frank Hutter and James Bergstra and Jasper Snoek and Holger Hoos and Kevin Leyton-Brown (pdf)(poster)(bib)
    Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters
    In: NIPS workshop on Bayesian Optimization in Theory and Practice
    Software and benchmarks are available from our HPOlib website.