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    Author information
    First name: Frank
    Last name: Hutter
    DBLP: 89/5383
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    Below you find the publications which have been written by this author.

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    Journal article
    Frank Hutter, Marius Thomas Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown.
    The Configurable SAT Solver Challenge (CSSC).
    Artif. Intell. 2017, Volume 243 (0) 2017
    Conference paper
    Andre Biedenkapp, Marius Thomas Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos.
    Efficient Parameter Importance Analysis via Ablation with Surrogates.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Katharina Eggensperger, Marius Thomas Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown.
    Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball.
    Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Katharina Eggensperger, Marius Thomas Lindauer, Frank Hutter.
    Pitfalls and Best Practices in Algorithm Configuration.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter.
    Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Conference paper
    Ziyu Wang, Frank Hutter, Masrour Zoghi, David Matheson, Nando de Freitas.
    Bayesian Optimization in a Billion Dimensions via Random Embeddings.
    J. Artif. Intell. Res. (JAIR) 2016, Volume 55 (0) 2016
    Conference paper
    Ilya Loshchilov, Frank Hutter.
    CMA-ES for Hyperparameter Optimization of Deep Neural Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter.
    Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Thomas Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren.
    ASlib: A benchmark library for algorithm selection.
    Artif. Intell. 2016, Volume 237 (0) 2016
    Conference paper
    Tobias Schubert, Katharina Eggensperger, Alexis Gkogkidis, Frank Hutter, Tonio Ball, Wolfram Burgard.
    Automatic bone parameter estimation for skeleton tracking in optical motion capture.
    2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016 2016 (0) 2016
    Conference paper
    Ilya Loshchilov, Frank Hutter.
    SGDR: Stochastic Gradient Descent with Restarts.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Markus Wagner 0007, Marius Thomas Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter.
    A case study of algorithm selection for the traveling thief problem.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Marius Thomas Lindauer, Rolf-David Bergdoll, Frank Hutter.
    An Empirical Study of Per-instance Algorithm Scheduling.
    Learning and Intelligent Optimization - 10th International Conference, LION 10, Ischia, Italy, May 29 - June 1, 2016, Revised Selected Papers 2016 (0) 2016
    Conference paper
    Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter.
    Bayesian Optimization with Robust Bayesian Neural Networks.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, Frank Hutter.
    Asynchronous Stochastic Gradient MCMC with Elastic Coupling.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter.
    Towards Automatically-Tuned Neural Networks.
    Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016 2016 (0) 2016
    Conference paper
    Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Efficient Benchmarking of Hyperparameter Optimizers via Surrogates.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Conference paper
    Matthias Feurer, Jost Tobias Springenberg, Frank Hutter.
    Initializing Bayesian Hyperparameter Optimization via Meta-Learning.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Conference paper
    Jendrik Seipp, Silvan Sievers, Malte Helmert, Frank Hutter.
    Automatic Configuration of Sequential Planning Portfolios.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Conference paper
    Frank Hutter, Marius Thomas Lindauer, Adrian Balint, Sam Bayless, Holger H. Hoos, Kevin Leyton-Brown.
    The Configurable SAT Solver Challenge (CSSC).
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Marius Thomas Lindauer, Holger H. Hoos, Frank Hutter.
    From Sequential Algorithm Selection to Parallel Portfolio Selection.
    Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers 2015 (0) 2015
    Journal article
    Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Thomas Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren.
    ASlib: A Benchmark Library for Algorithm Selection.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Tobias Domhan, Jost Tobias Springenberg, Frank Hutter.
    Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown.
    Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract).
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Show item 1 to 25 of 70  

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