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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.

    Show item 1 to 25 of 37  
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    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
    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
    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
    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, 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
    Show item 1 to 25 of 37  

    Your query returned 37 matches in the database.