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    First name: Frank
    Last name: Hutter
    DBLP: 89/5383
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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
    Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter.
    A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Marius Thomas Lindauer, Frank Hutter, Holger H. Hoos, Torsten Schaub.
    AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract).
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Journal article
    Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown.
    Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA.
    Journal of Machine Learning Research 2017, Volume 18 (0) 2017
    Conference paper
    Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren.
    OpenML Benchmarking Suites and the OpenML100.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball.
    Deep learning with convolutional neural networks for decoding and visualization of EEG pathology.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Marius Thomas Lindauer, Frank Hutter.
    Warmstarting of Model-based Algorithm Configuration.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Katharina Eggensperger, Marius Thomas Lindauer, Frank Hutter.
    Predicting Runtime Distributions using Deep Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jan N. van Rijn, Frank Hutter.
    Hyperparameter Importance Across Datasets.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Ziyu Wang 0001, 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
    Conference paper
    Mauro Vallati, Frank Hutter, Lukás Chrpa, Thomas Leo McCluskey.
    On the Effective Configuration of Planning Domain Models.
    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
    Marius Thomas Lindauer, Holger H. Hoos, Frank Hutter, Torsten Schaub.
    AutoFolio: An Automatically Configured Algorithm Selector.
    J. Artif. Intell. Res. (JAIR) 2015, Volume 53 (0) 2015
    Conference paper
    Stefan Falkner, Marius Thomas Lindauer, Frank Hutter.
    SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers.
    Theory and Applications of Satisfiability Testing - SAT 2015 - 18th International Conference, Austin, TX, USA, September 24-27, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Frank Hutter, Jörg Lücke, Lars Schmidt-Thieme.
    Beyond Manual Tuning of Hyperparameters.
    KI 2015, Volume 29 (0) 2015
    Conference paper
    Ilya Loshchilov, Frank Hutter.
    Online Batch Selection for Faster Training of Neural Networks.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Marius Thomas Lindauer, Holger H. Hoos, Frank Hutter, Torsten Schaub.
    AutoFolio: Algorithm Configuration for Algorithm Selection.
    Algorithm Configuration, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. 2015 (0) 2015
    Conference paper
    Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum 0002, Frank Hutter.
    Efficient and Robust Automated Machine Learning.
    Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada 2015 (0) 2015
    Conference paper
    Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown.
    Algorithm runtime prediction: Methods evaluation.
    Artif. Intell. 2014, Volume 206 (0) 2014
    Journal article
    Frank Hutter, Thomas Stützle, Kevin Leyton-Brown, Holger H. Hoos.
    ParamILS: An Automatic Algorithm Configuration Framework.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Kevin Leyton-Brown, Holger H. Hoos, Frank Hutter, Lin Xu.
    Understanding the empirical hardness of
    Commun. ACM 2014, Volume 57 (0) 2014
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    An Efficient Approach for Assessing Hyperparameter Importance.
    Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 2014 (0) 2014
    Conference paper
    Chris Fawcett, Mauro Vallati, Frank Hutter, Jörg Hoffmann 0001, Holger H. Hoos, Kevin Leyton-Brown.
    Improved Features for Runtime Prediction of Domain-Independent Planners.
    Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2014, Portsmouth, New Hampshire, USA, June 21-26, 2014 2014 (0) 2014
    Conference paper
    Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown.
    Algorithm Configuration in the Cloud: A Feasibility Study.
    Learning and Intelligent Optimization - 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers 2014 (0) 2014
    Conference paper
    Matthias Feurer, Jost Tobias Springenberg, Frank Hutter.
    Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters.
    Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. 2014 (0) 2014
    Conference paper
    Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Surrogate Benchmarks for Hyperparameter Optimization.
    Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. 2014 (0) 2014
    Conference paper
    Frank Hutter.
    Bayesian Optimization for More Automatic Machine Learning.
    Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. 2014 (0) 2014
    Conference paper
    Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Thomas Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle.
    AClib: A Benchmark Library for Algorithm Configuration.
    Learning and Intelligent Optimization - 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers 2014 (0) 2014
    Journal article
    Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas.
    Bayesian Optimization in a Billion Dimensions via Random Embeddings
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    An evaluation of sequential model-based optimization for expensive blackbox functions.
    Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, Companion Material Proceedings 2013 (0) 2013
    Conference paper
    Ziyu Wang 0001, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas.
    Bayesian Optimization in High Dimensions via Random Embeddings.
    IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 (0) 2013
    Conference paper
    Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Journal article
    Frank Hutter, Michael A. Osborne.
    A Kernel for Hierarchical Parameter Spaces.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Bayesian Optimization With Censored Response Data.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Identifying Key Algorithm Parameters and Instance Features Using Forward Selection.
    Learning and Intelligent Optimization - 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers 2013 (0) 2013
    Conference paper
    Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors.
    Theory and Applications of Satisfiability Testing - SAT 2012 - 15th International Conference, Trento, Italy, June 17-20, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Parallel Algorithm Configuration.
    Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Parallel Algorithm Configuration.
    Learning and Intelligent Optimization - 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers 2012 (0) 2012
    Journal article
    Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown.
    Algorithm Runtime Prediction: The State of the Art
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Sequential Model-Based Optimization for General Algorithm Configuration.
    Learning and Intelligent Optimization - 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011. Selected Papers 2011 (0) 2011
    Conference paper
    Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    SATzilla: Portfolio-based Algorithm Selection for SAT
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Automated Configuration of Mixed Integer Programming Solvers.
    Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 7th International Conference, CPAIOR 2010, Bologna, Italy, June 14-18, 2010. Proceedings 2010 (0) 2010
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin Murphy 0002.
    Time-Bounded Sequential Parameter Optimization.
    Learning and Intelligent Optimization, 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers 2010 (0) 2010
    Journal article
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    Tradeoffs in the empirical evaluation of competing algorithm designs.
    Ann. Math. Artif. Intell. 2010, Volume 60 (0) 2010
    Journal article
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle.
    ParamILS: An Automatic Algorithm Configuration Framework.
    J. Artif. Intell. Res. (JAIR) 2009, Volume 36 (0) 2009
    Conference paper
    Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin Murphy 0002.
    An experimental investigation of model-based parameter optimisation: SPO and beyond.
    Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009 2009 (0) 2009
    Conference paper
    Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    SATzilla: Portfolio-based Algorithm Selection for SAT.
    J. Artif. Intell. Res. (JAIR) 2008, Volume 32 (0) 2008
    Conference paper
    Frank Hutter, Holger H. Hoos, Thomas Stützle.
    Automatic Algorithm Configuration Based on Local Search.
    Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, Vancouver, British Columbia, Canada 2007 (0) 2007
    Conference paper
    Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown.
    : The Design and Analysis of an Algorithm Portfolio for SAT.
    Principles and Practice of Constraint Programming - CP 2007, 13th International Conference, CP 2007, Providence, RI, USA, September 23-27, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Frank Hutter, Domagoj Babic, Holger H. Hoos, Alan J. Hu.
    Boosting Verification by Automatic Tuning of Decision Procedures.
    Formal Methods in Computer-Aided Design, 7th International Conference, FMCAD 2007, Austin, Texas, USA, November 11-14, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Wolfgang Achtner, Esma Aïmeur, Sarabjot S. Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko.
    Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
    AI Magazine 2006, Volume 27 (0) 2006
    Conference paper
    Wolfgang Achtner, Esma Aïmeur, Sarabjot S. Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko.
    Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
    AI Magazine 2006, Volume 27 (0) 2006
    Conference paper
    Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown.
    Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms.
    Principles and Practice of Constraint Programming - CP 2006, 12th International Conference, CP 2006, Nantes, France, September 25-29, 2006, Proceedings 2006 (0) 2006
    Conference paper
    Frank Hutter, Holger H. Hoos, Thomas Stützle.
    Efficient Stochastic Local Search for MPE Solving.
    IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30 - August 5, 2005 2005 (0) 2005
    Conference paper
    Nando de Freitas, Richard Dearden, Frank Hutter, Rubén Morales-Menéndez, Jim Mutch, David Poole 0001.
    Diagnosis by a waiter and a Mars explorer.
    Proceedings of the IEEE 2004, Volume 92 (0) 2004
    Conference paper
    Frank Hutter, Dave A. D. Tompkins, Holger H. Hoos.
    Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT.
    Principles and Practice of Constraint Programming - CP 2002, 8th International Conference, CP 2002, Ithaca, NY, USA, September 9-13, 2002, Proceedings 2002 (0) 2002
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