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2019

  • Lindauer, M. and Feurer, M. and Eggensperger, K. and Biedenkapp, A. and Hutter, F. (arXiv)(slides)(bib)
    Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
    In: IJCAI 2019 DSO Workshop
  • Biedenkapp, A. and Bozkurt, H. F. and Hutter, F. and Lindauer, M. (arXiv)(pdf)(bib)
    Towards White-box Benchmarks for Algorithm Control
    In: IJCAI 2019 DSO Workshop
  • Lindauer, M. and Eggensperger, K. and Feurer, M. and Biedenkapp, A. and Marben, J. and Müller, P. and Hutter, F. (arXiv)(bib)
    BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
    In: arXiv:1908.06756 [cs.LG] (2019)

2018

  • Biedenkapp, A. and Marben, J. and Lindauer, M. and Hutter, F. (pdf)(slides)(bib)
    CAVE: Configuration Assessment, Visualization and Evaluation
    In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18)
    The Video presentation as shown at LION'18 can be found here.

2017

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