2024
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Rapant, Ivo; Purucker, Lennart; Ferreira, Fabio; Arango, Sebastian Pineda; Kadra, Arlind; Grabocka, Josif; Hutter, Frank Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models Workshop Forthcoming AutoML Conference 2024 (Workshop Track), Forthcoming. @workshop{Rapant2024b,
title = {Quick-Tune-Tool: A Practical Tool and its User Guide for Automatically Finetuning Pretrained Models},
author = {Ivo Rapant and Lennart Purucker and Fabio Ferreira and Sebastian Pineda Arango and Arlind Kadra and Josif Grabocka and Frank Hutter},
year = {2024},
booktitle = {AutoML Conference 2024 (Workshop Track)},
keywords = {}
}
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Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Inproceedings In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, 2024. @inproceedings{shala-automl24a,
title = {HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track},
keywords = {}
}
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Watanabe, Shuhei; Mallik, Neeratyoy; Bergman, Edward; Hutter, Frank Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Inproceedings Forthcoming In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track, Forthcoming. @inproceedings{Watanabe2024,
title = {Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks},
author = {Shuhei Watanabe and Neeratyoy Mallik and Edward Bergman and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), ABCD Track},
keywords = {}
}
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Bergman, Eddie; Purucker, Lennart; Hutter, Frank Don’t Waste Your Time: Early Stopping Cross-Validation Inproceedings Forthcoming In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Forthcoming. @inproceedings{Bergman2024,
title = {Don’t Waste Your Time: Early Stopping Cross-Validation},
author = {Eddie Bergman and Lennart Purucker and Frank Hutter },
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024)},
keywords = {}
}
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Patil, Sharat; Schirrmeister, Robin Tibor; Ball, Tonio; Hutter, Frank CoordConformer: Heterogenous EEG datasets decoding using Transformers Conference Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM@ICML), 2024. @conference{Patil2024,
title = {CoordConformer: Heterogenous EEG datasets decoding using Transformers},
author = {Sharat Patil and Robin Tibor Schirrmeister and Tonio Ball and Frank Hutter},
year = {2024},
booktitle = {Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM@ICML)},
keywords = {}
}
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Sukthanker, Rhea Sanjay; Zela, Arber; Staffler, Benedikt; Dooley, Samuel; Grabocka, Josif; Hutter, Frank Multi-objective Differentiable Neural Architecture Search Conference 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML), 2024. @conference{Sukthanker2024,
title = {Multi-objective Differentiable Neural Architecture Search},
author = {Rhea Sanjay Sukthanker and Arber Zela and Benedikt Staffler and Samuel Dooley and Josif Grabocka and Frank Hutter},
year = {2024},
booktitle = {2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML)},
keywords = {}
}
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Robertson, Jake; Hollmann, Noah; Awad, Noor; Hutter, Frank FairPFN: Transformers Can do Counterfactual Fairness Conference Next Generation of AI Safety Workshop (NextGenAISafety@ICML), 2024. @conference{Robertson2024,
title = {FairPFN: Transformers Can do Counterfactual Fairness},
author = {Jake Robertson and Noah Hollmann and Noor Awad and Frank Hutter},
year = {2024},
booktitle = {Next Generation of AI Safety Workshop (NextGenAISafety@ICML)},
keywords = {}
}
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Rakotoarison, Herilalaina; Adriaensen, Steven; Mallik, Neeratyoy; Garibov, Samir; Bergman, Eddie; Hutter, Frank In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Inproceedings In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{nokey,
title = {In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization},
author = {Herilalaina Rakotoarison and Steven Adriaensen and Neeratyoy Mallik and Samir Garibov and Eddie Bergman and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
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Kadlecová, Gabriela; Lukasik, Jovita; Pilát, Martin; Vidnerová, Petra; Safari, Mahmoud; Neruda, Roman; Hutter, Frank Surprisingly Strong Performance Prediction with Neural Graph Features Inproceedings In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{kadlecova-icml24a,
title = {Surprisingly Strong Performance Prediction with Neural Graph Features},
author = {Gabriela Kadlecová and Jovita Lukasik and Martin Pilát and Petra Vidnerová and Mahmoud Safari and Roman Neruda and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
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Lindauer, Marius; Karl, Florian; Klier, Anne; Moosbauer, Julia; Tornede, Alexander; Mueller, Andreas C; Hutter, Frank; Feurer, Matthias; Bischl, Bernd Position: A Call to Action for a Human-Centered AutoML Paradigm Inproceedings In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. @inproceedings{Lindauer2024,
title = {Position: A Call to Action for a Human-Centered AutoML Paradigm},
author = {Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and Andreas C Mueller and Frank Hutter and Matthias Feurer and Bernd Bischl},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML)},
keywords = {}
}
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Patil, Sharat; Runge, Frederic; Franke, Jörg K. H.; Hutter, Frank Towards Generative RNA Design with Tertiary Interactions Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024, (Oral Presentation). @workshop{nokey,
title = {Towards Generative RNA Design with Tertiary Interactions},
author = {Sharat Patil and Frederic Runge and Jörg K. H. Franke and Frank Hutter},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
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Matus, Dominika; Runge, Frederic; Franke, Jörg K. H.; Gerne, Lars; Uhl, Michael; Hutter, Frank; Backofen, Rolf RNA-Protein Interaction Prediction via Sequence Embeddings Workshop The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024), 2024. @workshop{nokey,
title = {RNA-Protein Interaction Prediction via Sequence Embeddings},
author = {Dominika Matus and Frederic Runge and Jörg K. H. Franke and Lars Gerne and Michael Uhl and Frank Hutter and Rolf Backofen},
year = {2024},
booktitle = {The Generative and Experimental perspectives in bioMolecular design (GEM) workshop (ICLR 2024)},
keywords = {}
}
|
Kohli, Ravin; Feurer, Matthias; Eggensperger, Katharina; Bischl, Bernd; Hutter, Frank Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning Inproceedings In: Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024), 2024. @inproceedings{Kohli2024,
title = {Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning},
author = {Ravin Kohli and Matthias Feurer and Katharina Eggensperger and Bernd Bischl and Frank Hutter},
year = {2024},
booktitle = {Data-centric Machine Learning Research (DMLR) Workshop (ICLR 2024)},
journal = {Data-centric Machine Learning Research (DMLR) Workshop at ICLR},
keywords = {}
}
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Franke, Jörg; Hefenbrock, Michael; Hutter, Frank Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning Inproceedings In: Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop, 2024. @inproceedings{nokey,
title = {Preserving Principal Subspaces to Reduce Catastrophic Forgetting in Fine-tuning},
author = {Jörg Franke and Michael Hefenbrock and Frank Hutter},
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models
(ME-FoMo) Workshop},
journal = {Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)},
keywords = {}
}
|
Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank Is Mamba Capable of In-Context Learning? Inproceedings In: Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop, 2024. @inproceedings{Grazzi2024,
title = {Is Mamba Capable of In-Context Learning?},
author = {Riccardo Grazzi and Julien Siems and Simon Schrodi and Thomas Brox and Frank Hutter },
year = {2024},
booktitle = {Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) Workshop},
keywords = {}
}
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Hvarfner, Carl; Hutter, Frank; Nardi, Luigi A General Framework for User-Guided Bayesian Optimization Inproceedings In: The Twelfth International Conference on Learning Representations (ICLR), 2024. @inproceedings{Hvarfner2024,
title = {A General Framework for User-Guided Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
year = {2024},
booktitle = {The Twelfth International Conference on Learning Representations (ICLR)},
keywords = {}
}
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Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Inproceedings In: The Twelfth International Conference on Learning Representations (ICLR), 2024, (Oral Presentation). @inproceedings{Arango2024,
title = {Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How},
author = {Sebastian Pineda Arango and Fabio Ferreira and Arlind Kadra and Frank Hutter and Josif Grabocka},
year = {2024},
booktitle = {The Twelfth International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Bergman, Edward; Feurer, Matthias; Bahram, Aron; Balef, Amir Rezaei; Purucker, Lennart; Segel, Sarah; Lindauer, Marius; Hutter, Frank; Eggensperger, Katharina AMLTK: A Modular AutoML Toolkit in Python Journal Article In: Journal of Open Source Software, vol. 9, no. 100, pp. 6367, 2024. @article{bergman2024amltk,
title = {AMLTK: A Modular AutoML Toolkit in Python},
author = {Edward Bergman and Matthias Feurer and Aron Bahram and Amir Rezaei Balef and Lennart Purucker and Sarah Segel and Marius Lindauer and Frank Hutter and Katharina Eggensperger},
year = {2024},
journal = {Journal of Open Source Software},
volume = {9},
number = {100},
pages = {6367},
keywords = {}
}
|
2023
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Runge, Frederic; Franke, Jörg K. H.; Fertmann, Daniel; Hutter, Frank Rethinking Performance Measures of RNA Secondary Structure Problems Workshop Machine Learning for Structural Biology Workshop, (NeruIPS 2023), 2023. @workshop{runge2023rethinking,
title = {Rethinking Performance Measures of RNA Secondary Structure Problems},
author = {Frederic Runge and Jörg K. H. Franke and Daniel Fertmann and Frank Hutter},
year = {2023},
booktitle = {Machine Learning for Structural Biology Workshop, (NeruIPS 2023)},
keywords = {}
}
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Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank New Horizons in Parameter Regularization: A Constraint Approach Inproceedings In: OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023), 2023. @inproceedings{franke2023new,
title = {New Horizons in Parameter Regularization: A Constraint Approach},
author = {Jörg K. H. Franke and Michael Hefenbrock and Gregor Koehler and Frank Hutter},
year = {2023},
booktitle = {OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023)},
keywords = {}
}
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Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank Constrained Parameter Regularization Unpublished Preprint, arXiv:2311.09058, 2023. @unpublished{franke2023constrained,
title = {Constrained Parameter Regularization},
author = {Jörg K. H. Franke and Michael Hefenbrock and Gregor Koehler and Frank Hutter},
year = {2023},
key = {2311.09058},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Hutter, Frank Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{hollmann2023caafe,
title = {Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{adriaensen2023lcpfn,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Mallik, Neeratyoy; Bergman, Eddie; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{mallik2023priorband,
title = {PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning},
author = {Neeratyoy Mallik and Eddie Bergman and Carl Hvarfner and Danny Stoll and Maciej Janowski and Marius Lindauer and Luigi Nardi and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{schrodi2023hierarchical,
title = {Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sanjay Sukthanker and Thomas Brox and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Dooley*, Samuel; Sukthanker*, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023, (Oral Paper - top 2% of accepted papers). @inproceedings{dooley-fairnas-2023,
title = {Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition},
author = {Samuel Dooley* and Rhea Sanjay Sukthanker* and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Hvarfner, Carl; Hellsten, Erik Orm; Hutter, Frank; Nardi, Luigi Self-Correcting Bayesian Optimization through Bayesian Active Learning Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{<LineBreak>hvarfner2023selfcorrecting,
title = {Self-Correcting Bayesian Optimization through Bayesian Active Learning},
author = {Carl Hvarfner and Erik Orm Hellsten and Frank Hutter and Luigi Nardi},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
Ferreira, Fabio; Rapant, Ivo; Hutter, Frank Hard View Selection for Contrastive Learning Conference Forthcoming Forthcoming. @conference{ferreira-arxiv23a,
title = {Hard View Selection for Contrastive Learning},
author = {Fabio Ferreira and Ivo Rapant and Frank Hutter},
year = {2023},
keywords = {}
}
|
Watanabe, Shuhei; Hutter, Frank c-TPE: Tree-Structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Inproceedings In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), ijcai.org, 2023. @inproceedings{watanabe-ijcai23-ctpe,
title = {c-TPE: Tree-Structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization},
author = {Shuhei Watanabe and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/486},
year = {2023},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
journal = {IJCAI},
publisher = {ijcai.org},
keywords = {}
}
|
Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Inproceedings In: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), 2023. @inproceedings{Watanabe22b,
title = {Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator},
author = {Shuhei Watanabe and Noor Awad and Masaki Onishi and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/487},
year = {2023},
booktitle = {Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
keywords = {}
}
|
Watanabe, Shuhei; Bansal, Archit; Hutter, Frank PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Inproceedings In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), 2023. @inproceedings{Watanabe23c,
title = {PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces},
author = {Shuhei Watanabe and Archit Bansal and Frank Hutter},
doi = {https://doi.org/10.24963/ijcai.2023/488},
year = {2023},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23)},
keywords = {}
}
|
Runge, Frederic; Franke, Jörg K. H.; Hutter, Frank Towards Automated Design of Riboswitches Workshop The 2023 ICML Workshop on Computational Biology, 2023. @workshop{runge2023towards,
title = {Towards Automated Design of Riboswitches},
author = {Frederic Runge and Jörg K. H. Franke and Frank Hutter},
year = {2023},
booktitle = {The 2023 ICML Workshop on Computational Biology},
keywords = {}
}
|
Müller, Samuel; Feurer, Matthias; Hollmann, Noah; Hutter, Frank PFNs4BO: In-Context Learning for Bayesian Optimization Inproceedings In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023. @inproceedings{sam_at_icml23,
title = {PFNs4BO: In-Context Learning for Bayesian Optimization},
author = {Samuel Müller and Matthias Feurer and Noah Hollmann and Frank Hutter},
year = {2023},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML 2023)},
keywords = {}
}
|
Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 77, pp. 821-890, 2023. @article{rajan-jair23,
title = {MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
doi = {10.1613/jair.1.14314},
year = {2023},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {77},
pages = {821-890},
keywords = {}
}
|
Arango, Sebastian Pineda; Ferreira, Fabio; Kadra, Arlind; Hutter, Frank; Grabocka, Josif Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Conference Forthcoming Forthcoming. @conference{nokey,
title = {Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How},
author = {Sebastian Pineda Arango and Fabio Ferreira and Arlind Kadra and Frank Hutter and Josif Grabocka},
year = {2023},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Mohan, Aditya; Döhler, Sebastian; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius Contextualize Me - The Case for Context in Reinforcement Learning Journal Article In: Transactions on Machine Learning Research, 2023, ISBN: 2835-8856. @article{benjamins-tmlr23a,
title = {Contextualize Me - The Case for Context in Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and Aditya Mohan and Sebastian Döhler and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
editor = {Adam M White},
year = {2023},
isbn = {2835-8856},
journal = {Transactions on Machine Learning Research},
keywords = {}
}
|
Awad, Noor; Sharma, Ayushi; Müller, Philipp; Thomas, Janek; Hutter, Frank MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Online 2023, visited: 09.05.2023. @online{Awad-arXiv-2023,
title = {MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization},
author = {Noor Awad and Ayushi Sharma and Philipp Müller and Janek Thomas and Frank Hutter},
year = {2023},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings In: The Eleventh International Conference on Learning Representations, 2023, (top 5% of accepted papers). @inproceedings{shala2023transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings In: Eleventh International Conference on Learning Representations (ICLR'23), 2023. @inproceedings{shala-iclr23a,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {Eleventh International Conference on Learning Representations (ICLR'23)},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings In: The Eleventh International Conference on Learning Representations (ICLR), 2023, ( top-25% of accepted papers ). @inproceedings{hollmann2023tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Hvarfner, Carl; Hellsten, Erik; Hutter, Frank; Nardi, Luigi Self-Correcting Bayesian Optimization through Bayesian Active Learning Miscellaneous 2023. @misc{hvarfner2023selfcorrecting,
title = {Self-Correcting Bayesian Optimization through Bayesian Active Learning},
author = {Carl Hvarfner and Erik Hellsten and Frank Hutter and Luigi Nardi},
year = {2023},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Pfisterer, Florian; Bischl, Bernd; Hutter, Frank Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Inproceedings In: Crémilleux, Bruno; Hess, Sibylle; Nijssen, Siegfried (Ed.): Advances in Intelligent Data Analysis XXI. IDA 2023., pp. 130-142, Springer, Cham, 2023. @inproceedings{feurer-ida23a,
title = {Mind the Gap: Measuring Generalization Performance Across Multiple Objectives},
author = {Matthias Feurer and Katharina Eggensperger and Edward Bergman and Florian Pfisterer and Bernd Bischl and Frank Hutter},
editor = {Crémilleux, Bruno and Hess, Sibylle and Nijssen, Siegfried},
doi = {https://doi.org/10.1007/978-3-031-30047-9_11},
year = {2023},
booktitle = {Advances in Intelligent Data Analysis XXI. IDA 2023.},
volume = {13876},
pages = {130-142},
publisher = {Springer, Cham},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Weerts, Hilde; Pfisterer, Florian; Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Awad, Noor; Vanschoren, Joaquin; Pechenizkiy, Mykola; Bischl, Bernd; Hutter, Frank Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Journal Article In: arXiv:2303.08485 [cs.AI], 2023. @article{weerts-arxiv23a,
title = {Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML},
author = {Hilde Weerts and Florian Pfisterer and Matthias Feurer and Katharina Eggensperger and Edward Bergman and Noor Awad and Joaquin Vanschoren and Mykola Pechenizkiy and Bernd Bischl and Frank Hutter},
year = {2023},
journal = {arXiv:2303.08485 [cs.AI]},
keywords = {}
}
|
White, Colin; Safari, Mahmoud; Sukthanker, Rhea; Ru, Binxin; Elsken, Thomas; Zela, Arber; Dey, Debadeepta; Hutter, Frank Neural Architecture Search: Insights from 1000 Papers Online 2023, visited: 20.01.2023. @online{white2023neural,
title = {Neural Architecture Search: Insights from 1000 Papers},
author = {Colin White and Mahmoud Safari and Rhea Sukthanker and Binxin Ru and Thomas Elsken and Arber Zela and Debadeepta Dey and Frank Hutter},
year = {2023},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea; Brox, Thomas; Hutter, Frank Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Miscellaneous 2023. @misc{schrodi2023construction,
title = {Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sukthanker and Thomas Brox and Frank Hutter},
year = {2023},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Hutter, Frank LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{<LineBreak>anonymous2023llms,
title = {LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
|
2022
|
Adriaensen, Steven; Biedenkapp, André; Shala, Gresa; Awad, Noor; Eimer, Theresa; Lindauer, Marius; Hutter, Frank Automated Dynamic Algorithm Configuration Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 75, pp. 1633-1699, 2022. @article{adriaens-arxiv22a,
title = {Automated Dynamic Algorithm Configuration},
author = {Steven Adriaensen and André Biedenkapp and Gresa Shala and Noor Awad and Theresa Eimer and Marius Lindauer and Frank Hutter},
doi = {10.1613/jair.1.13922 },
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {75},
pages = {1633-1699},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22b,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif AutoRL-Bench 1.0 Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22a,
title = {AutoRL-Bench 1.0},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Franke, Jörg; Runge, Frederic; Hutter, Frank Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Inproceedings In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022. @inproceedings{franke2022probabilistic,
title = {Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design},
author = {Jörg Franke and Frederic Runge and Frank Hutter},
editor = {Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year = {2022},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS 2022)},
keywords = {}
}
|
Hvarfner, Carl; Hutter, Frank; Nardi, Luigi Joint Entropy Search For Maximally-Informed Bayesian Optimization Inproceedings In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022. @inproceedings{hvarfner2022joint,
title = {Joint Entropy Search For Maximally-Informed Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
editor = {Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year = {2022},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS 2022)},
keywords = {}
}
|
Bansal, Archit; Stoll, Danny; Janowski, Maciej; Zela, Arber; Hutter, Frank JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search Inproceedings In: Thirty-sixth Conference on Neural Information Processing Systems, 2022, (Featured Paper - top 7.5% of accepted papers). @inproceedings{bansal-neurips22a,
title = {JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search},
author = {Archit Bansal and Danny Stoll and Maciej Janowski and Arber Zela and Frank Hutter},
year = {2022},
booktitle = {Thirty-sixth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Krishnakumar, Arjun; White, Colin; Zela, Arber; Tu, Renbo; Safari, Mahmoud; Hutter, Frank NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies Inproceedings In: Thirty-sixth Conference on Neural Information Processing Systems, 2022. @inproceedings{krishnakumar2022nasbenchsuitezero,
title = {NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies},
author = {Arjun Krishnakumar and Colin White and Arber Zela and Renbo Tu and Mahmoud Safari and Frank Hutter},
year = {2022},
booktitle = {Thirty-sixth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Journal Article In: Journal of Machine Learning Research, vol. 23, no. 261, pp. 1-61, 2022. @article{feurer-jmlr22a,
title = {Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning},
author = {Matthias Feurer and Katharina Eggensperger and Stefan Falkner and Marius Lindauer and Frank Hutter},
editor = {Marc Schoenauer},
year = {2022},
journal = {Journal of Machine Learning Research},
volume = {23},
number = {261},
pages = {1-61},
keywords = {}
}
|
Hvarfner, Carl; Hutter, Frank; Nardi, Luigi Joint Entropy Search For Maximally-Informed Bayesian Optimization Inproceedings In: Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22), 2022. @inproceedings{hvarfner-realml22a,
title = {Joint Entropy Search For Maximally-Informed Bayesian Optimization},
author = {Carl Hvarfner and Frank Hutter and Luigi Nardi},
year = {2022},
booktitle = {Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22)},
keywords = {}
}
|
Sass, René; Bergman, Eddie; Biedenkapp, André; Hutter, Frank; Lindauer, Marius DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning Inproceedings In: Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22), 2022. @inproceedings{sass-arxiv22,
title = {DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning},
author = {René Sass and Eddie Bergman and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2022},
booktitle = {Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22)},
journal = {arXiv:2206.03493 [cs.LG]},
keywords = {}
}
|
Biedenkapp, André; Dang, Nguyen; Krejca, Martin S.; Hutter, Frank; Doerr, Carola Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration Inproceedings In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22), 2022, (Won the best paper award in the GECH track). @inproceedings{biedenkapp-gecco22a,
title = {Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration},
author = {André Biedenkapp and Nguyen Dang and Martin S. Krejca and Frank Hutter and Carola Doerr},
year = {2022},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22)},
journal = {arXiv:2202.03259},
keywords = {}
}
|
Biedenkapp, André; Speck, David; Sievers, Silvan; Hutter, Frank; Lindauer, Marius; Seipp, Jendrik Learning Domain-Independent Policies for Open List Selection Inproceedings In: Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ ICAPS'22), 2022. @inproceedings{biedenkapp-prl22a,
title = {Learning Domain-Independent Policies for Open List Selection},
author = {André Biedenkapp and David Speck and Silvan Sievers and Frank Hutter and Marius Lindauer and Jendrik Seipp},
year = {2022},
booktitle = {Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ ICAPS'22)},
keywords = {}
}
|
Wagner, Diane; Ferreira, Fabio; Stoll, Danny; Schirrmeister, Robin Tibor; Müller, Samuel; Hutter, Frank On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Workshop ICML Pre-training Workshop, 2022. @workshop{ferreira-icml22b,
title = {On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning},
author = {Diane Wagner and Fabio Ferreira and Danny Stoll and Robin Tibor Schirrmeister and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {ICML Pre-training Workshop},
keywords = {}
}
|
Öztürk*, Ekrem; Ferreira*, Fabio; Jomaa*, Hadi S.; Schmidt-Thieme, Lars; Grabocka, Josif; Hutter, Frank Zero-shot AutoML with Pretrained Models Inproceedings In: International Conference on Machine Learning (ICML), 2022. @inproceedings{ferreira-icml22a,
title = {Zero-shot AutoML with Pretrained Models},
author = {Ekrem Öztürk* and Fabio Ferreira* and Hadi S. Jomaa* and Lars Schmidt-Thieme and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {}
}
|
Parker-Holder, Jack; Rajan, Raghu; Song, Xingyou; Biedenkapp, André; Miao, Yingjie; Eimer, Theresa; Zhang, Baohe; Nguyen, Vu; Calandra, Roberto; Faust, Aleksandra; Hutter, Frank; Lindauer, Marius Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 74, pp. 517-568, 2022. @article{parker-holder-jair22a,
title = {Automated Reinforcement Learning (AutoRL): A Survey and Open Problems},
author = {Jack Parker-Holder and Raghu Rajan and Xingyou Song and André Biedenkapp and Yingjie Miao and Theresa Eimer and Baohe Zhang and Vu Nguyen and Roberto Calandra and Aleksandra Faust and Frank Hutter and Marius Lindauer},
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {74},
pages = {517-568},
keywords = {}
}
|
Mehta*, Yash; White*, Colin; Zela, Arber; Krishnakumar, Arjun; Zabergja, Guri; Moradian, Shakiba; Safari, Mahmoud; Yu, Kaicheng; Hutter, Frank NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Inproceedings In: International Conference on Learning Representations (ICLR) 2022, 2022. @inproceedings{mehta-iclr22,
title = {NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy},
author = {Yash Mehta* and Colin White* and Arber Zela and Arjun Krishnakumar and Guri Zabergja and Shakiba Moradian and Mahmoud Safari and Kaicheng Yu and Frank Hutter},
year = {2022},
booktitle = {International Conference on Learning Representations (ICLR) 2022},
keywords = {}
}
|
Müller, Samuel; Hollmann, Noah; Arango, Sebastian Pineda; Grabocka, Josif; Hutter, Frank Transformers Can Do Bayesian Inference Inproceedings In: 10th International Conference on Learning Representations, ICLR 2022, 2022. @inproceedings{nokey,
title = {Transformers Can Do Bayesian Inference},
author = {Samuel Müller and Noah Hollmann and Sebastian Pineda Arango and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {10th International Conference on Learning Representations, ICLR 2022},
keywords = {}
}
|
Zela, Arber; Siems, Julien; Zimmer, Lucas; Lukasik, Jovita; Keuper, Margret; Hutter, Frank Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks Inproceedings In: International Conference on Learning Representations (ICLR), 2022. @inproceedings{zela-iclr21,
title = {Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks},
author = {Arber Zela and Julien Siems and Lucas Zimmer and Jovita Lukasik and Margret Keuper and Frank Hutter},
year = {2022},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {}
}
|
Hvarfner, Carl; Stoll, Danny; Souza, Artur; Lindauer, Marius; Hutter, Frank; Nardi, Luigi πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Inproceedings In: 10th International Conference on Learning Representations, ICLR 2022, OpenReview.net, 2022. @inproceedings{Hvarfner0000,
title = {πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization},
author = {Carl Hvarfner and Danny Stoll and Artur Souza and Marius Lindauer and Frank Hutter and Luigi Nardi},
year = {2022},
booktitle = {10th International Conference on Learning Representations, ICLR 2022},
publisher = {OpenReview.net},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Mohan, Aditya; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius Contextualize Me – The Case for Context in Reinforcement Learning Journal Article In: arXiv:2202.04500, 2022. @article{benjamins-arxiv22a,
title = {Contextualize Me – The Case for Context in Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and Aditya Mohan and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
year = {2022},
journal = {arXiv:2202.04500},
keywords = {}
}
|
Ferreira, Fabio; Nierhoff, Thomas; Sälinger, Andreas; Hutter, Frank Learning Synthetic Environments and Reward Networks for Reinforcement Learning Inproceedings In: 10th International Conference on Learning Representations (ICLR), OpenReview.net, 2022. @inproceedings{,
title = {Learning Synthetic Environments and Reward Networks for Reinforcement Learning},
author = {Fabio Ferreira and Thomas Nierhoff and Andreas Sälinger and Frank Hutter},
year = {2022},
booktitle = {10th International Conference on Learning Representations (ICLR), OpenReview.net},
keywords = {}
}
|
Lindauer, Marius; Eggensperger, Katharina; Feurer, Matthias; Biedenkapp, André; Deng, Difan; Benjamins, Carolin; Ruhkopf, Tim; Sass, René; Hutter, Frank SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Journal Article In: Journal of Machine Learning Research (JMLR) -- MLOSS, vol. 23, no. 54, pp. 1-9, 2022. @article{lindauer-jmlr22a,
title = { SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization},
author = {Marius Lindauer and Katharina Eggensperger and Matthias Feurer and André Biedenkapp and Difan Deng and Carolin Benjamins and Tim Ruhkopf and René Sass and Frank Hutter},
year = {2022},
journal = {Journal of Machine Learning Research (JMLR) -- MLOSS},
volume = {23},
number = {54},
pages = {1-9},
keywords = {}
}
|
Feurer, Matthias; Letham, Benjamin; Hutter, Frank; Bakshy, Eytan Practical Transfer Learning for Bayesian Optimization Journal Article In: arXiv:1802:02219v3 [stat.ML], 2022. @article{feurer-arxiv22a,
title = {Practical Transfer Learning for Bayesian Optimization},
author = {Matthias Feurer and Benjamin Letham and Frank Hutter and Eytan Bakshy },
year = {2022},
journal = {arXiv:1802:02219v3 [stat.ML]},
keywords = {}
}
|
Müller, Samuel; Arango, Sebastian Pineda; Feurer, Matthias; Grabocka, Josif; Hutter, Frank Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Workshop Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @workshop{müller2022bayesian,
title = {Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only},
author = {Samuel Müller and Sebastian Pineda Arango and Matthias Feurer and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Hutter, Frank c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization Inproceedings In: NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022. @inproceedings{watanabe2022cTPE,
title = {c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization},
author = {Shuhei Watanabe and Frank Hutter},
year = {2022},
booktitle = {NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems},
keywords = {}
}
|
Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{adriaensen2022efficientb,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Patil, Sharat; Hutter, Frank GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{sukthanker2022gravite,
title = {GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights},
author = {Rhea Sanjay Sukthanker and Arjun Krishnakumar and Sharat Patil and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank Multi-objective Tree-structured Parzen Estimator Meets Meta-learning Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{watanabe2022multiobjective,
title = {Multi-objective Tree-structured Parzen Estimator Meets Meta-learning},
author = {Shuhei Watanabe and Noor Awad and Masaki Onishi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings In: Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022},
keywords = {}
}
|
Dooley, Samuel; Sukthanker, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{dooley2022on,
title = {On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition},
author = {Samuel Dooley and Rhea Sanjay Sukthanker and John P Dickerson and Colin White and Frank Hutter and Micah Goldblum},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Mallik, Neeratyoy; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Bergman, Eddie; Lindauer, Marius; Nardi, Luigi; Hutter, Frank PriorBand: HyperBand + Human Expert Knowledge Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{mallik-neurips22a,
title = {PriorBand: HyperBand + Human Expert Knowledge},
author = {Neeratyoy Mallik and Carl Hvarfner and Danny Stoll and Maciej Janowski and Eddie Bergman and Marius Lindauer and Luigi Nardi and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings In: NeurIPS 2022 First Table Representation Workshop, 2022. @inproceedings{hollmann2022tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2022},
booktitle = {NeurIPS 2022 First Table Representation Workshop},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{shala2022transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank Towards Discovering Neural Architectures from Scratch Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{schrodi2022towards,
title = {Towards Discovering Neural Architectures from Scratch},
author = {Simon Schrodi and Danny Stoll and Binxin Ru and Rhea Sanjay Sukthanker and Thomas Brox and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
2021
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Gijsbers, Pieter; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Inproceedings In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. @inproceedings{bischl-neurips21a,
title = {OpenML Benchmarking Suites },
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Pieter Gijsbers and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2021},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
keywords = {}
}
|
Benjamins, Carolin; Eimer, Theresa; Schubert, Frederik; Biedenkapp, André; Rosenhan, Bodo; Hutter, Frank; Lindauer, Marius CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning Inproceedings In: Workshop on Ecological Theory of Reinforcement Learning (EcoRL@NeurIPS'21), 2021. @inproceedings{benjamins-arxiv21a,
title = {CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning},
author = {Carolin Benjamins and Theresa Eimer and Frederik Schubert and André Biedenkapp and Bodo Rosenhan and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Workshop on Ecological Theory of Reinforcement Learning (EcoRL@NeurIPS'21)},
journal = {arXiv:2110.02102},
keywords = {}
}
|
Eggensperger, Katharina; Müller, Philipp; Mallik, Neeratyoy; Feurer, Matthias; Sass, René; Klein, Aaron; Awad, Noor; Lindauer, Marius; Hutter, Frank HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Inproceedings In: Vanschoren, J.; Yeung, S. (Ed.): Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. @inproceedings{eggensperger-neuripsdbt21,
title = {HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO},
author = {Katharina Eggensperger and Philipp Müller and Neeratyoy Mallik and Matthias Feurer and René Sass and Aaron Klein and Noor Awad and Marius Lindauer and Frank Hutter},
editor = {J. Vanschoren and S. Yeung},
year = {2021},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
journal = {arXiv:2109.06716},
volume = {1},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Reimer, Maximilian; Adriaensen, Steven; Hutter, Frank; Lindauer, Marius DACBench: A Benchmark Library for Dynamic Algorithm Configuration Inproceedings In: Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21), ijcai.org, 2021. @inproceedings{eimer-ijcai21,
title = {DACBench: A Benchmark Library for Dynamic Algorithm Configuration},
author = {Theresa Eimer and André Biedenkapp and Maximilian Reimer and Steven Adriaensen and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21)},
publisher = {ijcai.org},
keywords = {}
}
|
Speck, David; Biedenkapp, André; Hutter, Frank; Mattmüller, Robert; Lindauer, Marius Learning Heuristic Selection with Dynamic Algorithm Configuration Inproceedings In: Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21), 2021. @inproceedings{speck-icaps21,
title = {Learning Heuristic Selection with Dynamic Algorithm Configuration},
author = {David Speck and André Biedenkapp and Frank Hutter and Robert Mattmüller and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS'21)},
keywords = {}
}
|
Awad, Noor; Mallik, Neeratyoy; Hutter, Frank DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization Inproceedings In: Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21), ijcai.org, 2021. @inproceedings{awad-ijcai21,
title = {DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization},
author = {Noor Awad and Neeratyoy Mallik and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence (IJCAI'21)},
publisher = {ijcai.org},
keywords = {}
}
|
Narayanan, Ashwin Raaghav; Zela, Arber; Saikia, Tonmoy; Brox, Thomas; Hutter, Frank Multi-headed Neural Ensemble Search Inproceedings In: Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`21), 2021. @inproceedings{Narayanan2021b,
title = {Multi-headed Neural Ensemble Search},
author = {Ashwin Raaghav Narayanan and Arber Zela and Tonmoy Saikia and Thomas Brox and Frank Hutter},
year = {2021},
booktitle = {Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`21)},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Hutter, Frank; Lindauer, Marius Self-Paced Context Evaluations for Contextual Reinforcement Learning Inproceedings In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021. @inproceedings{eimer-icml21,
title = {Self-Paced Context Evaluations for Contextual Reinforcement Learning},
author = {Theresa Eimer and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML 2021)},
keywords = {}
}
|
Izquierdo, Sergio; Guerrero-Viu, Julia; Hauns, Sven; Miotto, Guilherme; Schrodi, Simon; Biedenkapp, André; Elsken, Thomas; Deng, Difan; Lindauer, Marius; Hutter, Frank Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Inproceedings In: Workshop on Automated Machine Learning (AutoML@ICML'21), 2021. @inproceedings{viu-automlicml21a,
title = {Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization},
author = {Sergio Izquierdo and Julia Guerrero-Viu and Sven Hauns and Guilherme Miotto and Simon Schrodi and André Biedenkapp and Thomas Elsken and Difan Deng and Marius Lindauer and Frank Hutter},
year = {2021},
booktitle = {Workshop on Automated Machine Learning (AutoML@ICML'21)},
journal = {Workshop on Automated Machine Learning (AutoML@ICML'21)},
keywords = {}
}
|
Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius TempoRL: Learning When to Act Inproceedings In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021. @inproceedings{biedenkapp-icml21,
title = {TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML 2021)},
keywords = {}
}
|
Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: A Design and Debug Testbed for Reinforcement Learning Inproceedings In: arXiv:1909.07750, 2021. @inproceedings{rajan-arxiv21,
title = {MDP Playground: A Design and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
year = {2021},
booktitle = {arXiv:1909.07750},
journal = {arXiv:1909.07750v4 [cs.LG]},
keywords = {}
}
|
Colin White Shen Yan, Yash Savani; Hutter, Frank NAS-Bench-x11 and the Power of Learning Curves Inproceedings In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @inproceedings{yan2021nas,
title = {NAS-Bench-x11 and the Power of Learning Curves},
author = {Shen Yan, Colin White, Yash Savani and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
journal = {CVPR},
keywords = {}
}
|
Elsken, Thomas; Staffler, Benedikt; Zela, Arber; Metzen, Jan Hendrik; Hutter, Frank Bag of Tricks for Neural Architecture Search Journal Article In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @article{elsken2021bag,
title = {Bag of Tricks for Neural Architecture Search},
author = {Thomas Elsken and Benedikt Staffler and Arber Zela and Jan Hendrik Metzen and Frank Hutter},
year = {2021},
journal = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
keywords = {}
}
|
Chatzimichailidis, Avraam; Zela, Arber; Shalini, Shalini; Labus, Peter; Keuper, Janis; Hutter, Frank; Yang, Yang Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search Journal Article In: Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21), 2021. @article{chatzimichailidisgroup,
title = {Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search},
author = {Avraam Chatzimichailidis and Arber Zela and Shalini Shalini and Peter Labus and Janis Keuper and Frank Hutter and Yang Yang},
year = {2021},
journal = {Proceedings of the CVPR 2021 Workshop on Neural Architecture Search (CVPR-NAS '21)},
keywords = {}
}
|
Kadra, Arlind; Lindauer, Marius; Hutter, Frank; Grabocka, Josif Well-tuned Simple Nets Excel on Tabular Datasets Inproceedings In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{kadra2021welltuned,
title = {Well-tuned Simple Nets Excel on Tabular Datasets},
author = {Arlind Kadra and Marius Lindauer and Frank Hutter and Josif Grabocka},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Zaidi, Sheheryar; Zela, Arber; Elsken, Thomas; Holmes, Christopher C.; Hutter, Frank; Teh, Yee Whye Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Inproceedings In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{zaidi2021neural,
title = {Neural Ensemble Search for Uncertainty Estimation and Dataset Shift},
author = {Sheheryar Zaidi and Arber Zela and Thomas Elsken and Christopher C. Holmes and Frank Hutter and Yee Whye Teh},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Yan, Shen; White, Colin; Savani, Yash; Hutter, Frank NAS-Bench-x11 and the Power of Learning Curves Inproceedings In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{yan2021nasbenchx,
title = {NAS-Bench-x11 and the Power of Learning Curves},
author = {Shen Yan and Colin White and Yash Savani and Frank Hutter},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
White, Colin; Zela, Arber; Ru, Binxin; Liu, Yang; Hutter, Frank How Powerful are Performance Predictors in Neural Architecture Search? Inproceedings In: Thirty-Fifth Conference on Neural Information Processing Systems, 2021. @inproceedings{white2021how,
title = {How Powerful are Performance Predictors in Neural Architecture Search?},
author = {Colin White and Arber Zela and Binxin Ru and Yang Liu and Frank Hutter},
year = {2021},
booktitle = {Thirty-Fifth Conference on Neural Information Processing Systems},
keywords = {}
}
|
Franke, Jörg K H; Köhler, Gregor; Biedenkapp, André; Hutter, Frank Sample-Efficient Automated Deep Reinforcement Learning Journal Article In: International Conference on Learning Representations (ICLR) 2021, 2021. @article{franke-iclr21a,
title = {Sample-Efficient Automated Deep Reinforcement Learning},
author = {Jörg K H Franke and Gregor Köhler and André Biedenkapp and Frank Hutter},
year = {2021},
booktitle = {International Conference on Learning Representations (ICLR) 2021},
journal = {International Conference on Learning Representations (ICLR) 2021},
keywords = {}
}
|
Zhang, Baohe; Rajan, Raghu; Pineda, Luis; Lambert, Nathan; Biedenkapp, André; Chua, Kurtland; Hutter, Frank; Calandra, Roberto On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Inproceedings In: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21, 2021. @inproceedings{zhang-aistats21,
title = {On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning},
author = {Baohe Zhang and Raghu Rajan and Luis Pineda and Nathan Lambert and André Biedenkapp and Kurtland Chua and Frank Hutter and Roberto Calandra},
year = {2021},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21},
keywords = {}
}
|
Müller, Samuel; Hutter, Frank TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Inproceedings In: ICCV, 2021, (Oral Presentation (Top 3%)). @inproceedings{mueller-arxiv21a,
title = {TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation},
author = {Samuel Müller and Frank Hutter},
year = {2021},
booktitle = {ICCV},
journal = {arXiv:2103.10158 [cs.CV]},
keywords = {}
}
|
Ferreira, Fabio; Nierhoff, Thomas; Hutter, Frank Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies Journal Article In: AAAI workshop on Meta-Learning Challenges, 2021. @article{ferreira-metalearn21a,
title = {Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies},
author = {Fabio Ferreira and Thomas Nierhoff and Frank Hutter},
year = {2021},
booktitle = {AAAI workshop on Meta-Learning Challenges},
journal = {AAAI workshop on Meta-Learning Challenges},
keywords = {}
}
|
Müller, Samuel; Biedenkapp, André; Hutter, Frank In-Loop Meta-Learning with Gradient-Alignment Reward Inproceedings In: AAAI workshop on Meta-Learning Challenges, 2021. @inproceedings{mueller-metalearn21a,
title = {In-Loop Meta-Learning with Gradient-Alignment Reward},
author = {Samuel Müller and André Biedenkapp and Frank Hutter},
year = {2021},
booktitle = {AAAI workshop on Meta-Learning Challenges},
journal = {AAAI workshop on Meta-Learning Challenges},
keywords = {}
}
|
Souza, Artur; Nardi, Luigi; Oliveira, Leonardo; Olukotun, Kunle; Lindauer, Marius; Hutter, Frank Bayesian Optimization with a Prior for the Optimum Inproceedings In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021. @inproceedings{SouNar2021a,
title = {Bayesian Optimization with a Prior for the Optimum},
author = {Artur Souza and Luigi Nardi and Leonardo Oliveira and Kunle Olukotun and Marius Lindauer and Frank Hutter},
year = {2021},
booktitle = {Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
keywords = {}
}
|
Zimmer, Lucas; Lindauer, Marius; Hutter, Frank Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Journal Article In: IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1, 2021. @article{9382913,
title = {Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL},
author = {Lucas Zimmer and Marius Lindauer and Frank Hutter},
doi = {10.1109/TPAMI.2021.3067763},
year = {2021},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
pages = {1-1},
keywords = {}
}
|
Feurer, Matthias; van Rijn, Jan N; Kadra, Arlind; Gijsbers, Pieter; Mallik, Neeratyoy; Ravi, Sahithya; Müller, Andreas; Vanschoren, Joaquin; Hutter, Frank OpenML-Python: an extensible Python API for OpenML Journal Article In: Journal of Machine Learning Research, vol. 22, no. 100, pp. 1-5, 2021. @article{feurer-jmlr21a,
title = {OpenML-Python: an extensible Python API for OpenML},
author = {Matthias Feurer and Jan N van Rijn and Arlind Kadra and Pieter Gijsbers and Neeratyoy Mallik and Sahithya Ravi and Andreas Müller and Joaquin Vanschoren and Frank Hutter},
year = {2021},
journal = {Journal of Machine Learning Research},
volume = {22},
number = {100},
pages = {1-5},
keywords = {}
}
|
2020
|
Awad, Noor; Shala, Gresa; Deng, Difan; Mallik, Neeratyoy; Feurer, Matthias; Eggensperger, Katharina; Biedenkapp, André; Vermetten, Diederick; Wang, Hao; Doerr, Carola; Lindauer, Marius; Hutter, Frank Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge Journal Article In: arXiv:2012.08180 [cs.LG], 2020, (Optimizer description for the NeurIPS 2020 BBO
competition.
Squirrel won the competition´s warm-starting friendly
leaderboard.). @article{awad-arxiv20a,
title = {Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge},
author = {Noor Awad and Gresa Shala and Difan Deng and Neeratyoy Mallik and Matthias Feurer and Katharina Eggensperger and André Biedenkapp and Diederick Vermetten and Hao Wang and Carola Doerr and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2012.08180 [cs.LG]},
keywords = {}
}
|
Lindauer, Marius; Hutter, Frank Best Practices for Scientific Research on Neural Architecture Search Journal Article In: Journal of Machine Learning Research, vol. 21, no. 243, pp. 1-18, 2020. @article{lindauer-jmlr20a,
title = {Best Practices for Scientific Research on Neural Architecture Search},
author = {Marius Lindauer and Frank Hutter},
year = {2020},
journal = {Journal of Machine Learning Research},
volume = {21},
number = {243},
pages = {1-18},
keywords = {}
}
|
Lukasik, Jovita; Friede, David; Zela, Arber; Stuckenschmidt, Heiner; Hutter, Frank; Keuper, Margret Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Journal Article In: arXiv:2010.04683 [cs.LG], 2020. @article{lukasik20,
title = {Smooth Variational Graph Embeddings for Efficient Neural Architecture Search},
author = {Jovita Lukasik and David Friede and Arber Zela and Heiner Stuckenschmidt and Frank Hutter and Margret Keuper},
year = {2020},
journal = {arXiv:2010.04683 [cs.LG]},
keywords = {}
}
|
Siems, Julien; Zimmer, Lucas; Zela, Arber; Lukasik, Jovita; Keuper, Margret; Hutter, Frank NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{siems20,
title = {NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search},
author = {Julien Siems and Lucas Zimmer and Arber Zela and Jovita Lukasik and Margret Keuper and Frank Hutter},
year = {2020},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Souza, Artur; Nardi, Luigi; Oliveira, Leonardo B; Olukotun, Kunle; Lindauer, Marius; Hutter, Frank Prior-guided Bayesian Optimization Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{souza-nipswml20a,
title = {Prior-guided Bayesian Optimization},
author = {Artur Souza and Luigi Nardi and Leonardo B Oliveira and Kunle Olukotun and Marius Lindauer and Frank Hutter},
year = {2020},
booktitle = {NeurIPS 4th Workshop on Meta-Learning},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Speck, David; Biedenkapp, André; Hutter, Frank; Mattmüller, Robert; Lindauer, Marius Learning Heuristic Selection with Dynamic Algorithm Configuration Inproceedings In: Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ICAPS'20), 2020. @inproceedings{speck-prl20,
title = {Learning Heuristic Selection with Dynamic Algorithm Configuration},
author = {David Speck and André Biedenkapp and Frank Hutter and Robert Mattmüller and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ICAPS'20)},
keywords = {}
}
|
Stoll, Danny; Franke, Jörg K H; Wagner, Diane; Selg, Simon; Hutter, Frank Hyperparameter Transfer Across Developer Adjustments Journal Article In: NeurIPS 4th Workshop on Meta-Learning, 2020. @article{stoll2020,
title = {Hyperparameter Transfer Across Developer Adjustments},
author = {Danny Stoll and Jörg K H Franke and Diane Wagner and Simon Selg and Frank Hutter},
year = {2020},
journal = {NeurIPS 4th Workshop on Meta-Learning},
keywords = {}
}
|
Liu, Zhengying; Pavao, Adrien; Xu, Zhen; Escalera, Sergio; Ferreira, Fabio; Guyon, Isabelle; Hong, Sirui; Hutter, Frank; Ji, Rongrong; Junior, Julio C S Jacques; Li, Ge; Lindauer, Marius; Luo, Zhipeng; Madadi, Meysam; Nierhoff, Thomas; Niu, Kangning; Pan, Chunguang; Stoll, Danny; Treguer, Sebastien; Wang, Jin; Wang, Peng; Wu, Chenglin; Xiong, Youcheng; Zela, Arber; Zhang, Yang Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019 Journal Article In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3108-3125, 2020. @article{Liu20,
title = {Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019},
author = {Zhengying Liu and Adrien Pavao and Zhen Xu and Sergio Escalera and Fabio Ferreira and Isabelle Guyon and Sirui Hong and Frank Hutter and Rongrong Ji and Julio C S Jacques Junior and Ge Li and Marius Lindauer and Zhipeng Luo and Meysam Madadi and Thomas Nierhoff and Kangning Niu and Chunguang Pan and Danny Stoll and Sebastien Treguer and Jin Wang and Peng Wang and Chenglin Wu and Youcheng Xiong and Arber Zela and Yang Zhang},
doi = {10.1109/TPAMI.2021.3075372},
year = {2020},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {43},
number = {9},
pages = {3108-3125},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Awad, Noor; Adriaensen, Steven; Lindauer, Marius; Hutter, Frank Learning Step-Size Adaptation in CMA-ES Inproceedings In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20), 2020. @inproceedings{shala-ppsn20,
title = {Learning Step-Size Adaptation in CMA-ES},
author = {Gresa Shala and André Biedenkapp and Noor Awad and Steven Adriaensen and Marius Lindauer and Frank Hutter},
year = {2020},
booktitle = {Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20)},
keywords = {}
}
|
Eggensperger, Katharina; Haase, Kai; Müller, Philipp; Lindauer, Marius; Hutter, Frank Neural Model-based Optimization with Right-Censored Observations Journal Article In: arXiv:2009:13828 [cs.AI], 2020. @article{eggensperger-arxiv20a,
title = {Neural Model-based Optimization with Right-Censored Observations},
author = {Katharina Eggensperger and Kai Haase and Philipp Müller and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2009:13828 [cs.AI]},
keywords = {}
}
|
Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius Towards TempoRL: Learning When to Act Inproceedings In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20), 2020. @inproceedings{biedenkapp-bigicml20,
title = {Towards TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)},
keywords = {}
}
|
Eimer, Theresa; Biedenkapp, André; Hutter, Frank; Lindauer, Marius Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning Inproceedings In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20), 2020. @inproceedings{eimer-bigicml20,
title = {Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning},
author = {Theresa Eimer and André Biedenkapp and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)},
keywords = {}
}
|
Biedenkapp, André; Bozkurt, Furkan H; Eimer, Theresa; Hutter, Frank; Lindauer, Marius Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework Inproceedings In: Proceedings of the Twenty-fourth European Conference on Artificial Intelligence (ECAI'20), 2020. @inproceedings{biedenkapp-ecai20,
title = {Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework},
author = {André Biedenkapp and Furkan H Bozkurt and Theresa Eimer and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Proceedings of the Twenty-fourth European Conference on Artificial Intelligence (ECAI'20)},
keywords = {}
}
|
Zaidi, Sheheryar; Zela, Arber; Elsken, Thomas; Holmes, Chris; Hutter, Frank; Teh, Yee Whye Neural Ensemble Search for Performant and Calibrated Predictions Journal Article In: Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`20), 2020, (Oral Presentation). @article{zaidi20,
title = {Neural Ensemble Search for Performant and Calibrated Predictions},
author = {Sheheryar Zaidi and Arber Zela and Thomas Elsken and Chris Holmes and Frank Hutter and Yee Whye Teh},
year = {2020},
journal = {Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`20)},
keywords = {}
}
|
Elsken, Thomas; Staffler, Benedikt; Metzen, Jan Hendrik; Hutter, Frank Meta-Learning of Neural Architectures for Few-Shot Learning Inproceedings In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, (Oral Presentation (Top 6%)). @inproceedings{Elsken_2020_CVPR,
title = {Meta-Learning of Neural Architectures for Few-Shot Learning},
author = {Thomas Elsken and Benedikt Staffler and Jan Hendrik Metzen and Frank Hutter},
year = {2020},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {}
}
|
Gargiani, Matilde; Zanelli, Andrea; Diehl, Moritz; Hutter, Frank On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs Journal Article In: arXiv:2006.02409 [cs.LG], 2020. @article{gargiani-arxiv20a,
title = {On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs},
author = {Matilde Gargiani and Andrea Zanelli and Moritz Diehl and Frank Hutter},
year = {2020},
journal = {arXiv:2006.02409 [cs.LG]},
keywords = {}
}
|
Zimmer, Lucas; Lindauer, Marius; Hutter, Frank Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Journal Article In: arXiv:2006.13799 [cs.LG], 2020. @article{zimmer-arxiv20,
title = {Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL},
author = {Lucas Zimmer and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2006.13799 [cs.LG]},
keywords = {}
}
|
Lehman, J; Clune, J; Misevic, D; Adami, C; Beaulieu, J; Bentley, P J; Bernard, S; Beslon, G; Bryson, D M; Chrabaszcz, P; Cheney, N; Cully, A; Doncieux, S; Dyer, F C; Ellefsen, K O; Feldt, R; Fischer, S; Forrest, S; Frénoy, A; Gagné, C; Goff, Le L K; Grabowski, L M; Hodjat, B; Hutter, F; Keller, L; Knibbe, C; Krcah, P; Lenski, R E; Lipson, H; MacCurdy, R; Maestre, C; Miikkulainen, R; Mitri, S; Moriarty, D E; Mouret, J -B; Nguyen, A; Ofria, C; Parizeau, M; Parsons, D P; Pennock, R T; Punch, W F; Ray, T S; Schoenauer, M; Shulte, E; Sims, K; Stanley, K O; Taddei, F; Tarapore, D; Thibault, S; Weimer, W; Watson, R; Yosinksi, J The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Journal Article In: Artificial Life, vol. 26, no. 2, pp. 274-306, 2020. @article{DBLP:journals/corr/abs-1803-03453,
title = {The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities},
author = {J Lehman and J Clune and D Misevic and C Adami and J Beaulieu and P J Bentley and S Bernard and G Beslon and D M Bryson and P Chrabaszcz and N Cheney and A Cully and S Doncieux and F C Dyer and K O Ellefsen and R Feldt and S Fischer and S Forrest and A Frénoy and C Gagné and Le L K Goff and L M Grabowski and B Hodjat and F Hutter and L Keller and C Knibbe and P Krcah and R E Lenski and H Lipson and R MacCurdy and C Maestre and R Miikkulainen and S Mitri and D E Moriarty and J -B Mouret and A Nguyen and C Ofria and M Parizeau and D P Parsons and R T Pennock and W F Punch and T S Ray and M Schoenauer and E Shulte and K Sims and K O Stanley and F Taddei and D Tarapore and S Thibault and W Weimer and R Watson and J Yosinksi},
doi = {10.1162/artl_a_00319},
year = {2020},
journal = {Artificial Life},
volume = {26},
number = {2},
pages = {274-306},
keywords = {}
}
|
Awad, N; Mallik, N; Hutter, F Differential Evolution for Neural Architecture Search Inproceedings In: Proceedings of the 1st workshop on neural architecture search(@ICLR'20), 2020. @inproceedings{awad-iclr20,
title = {Differential Evolution for Neural Architecture Search},
author = {N Awad and N Mallik and F Hutter},
year = {2020},
booktitle = {Proceedings of the 1st workshop on neural architecture search(@ICLR'20)},
keywords = {}
}
|
Tomašev, Nenad; Cornebise, Julien; Hutter, Frank; Mohamed, Shakir; Khan, Mohammad Emtiyaz; Winne, Ruben De; Schaul, Tom; Clopath, Claudia AI for social good: unlocking the opportunity for positive impact Journal Article In: Nature Communications, vol. 11, no. 1, 2020. @article{tomavsev2020ai,
title = {AI for social good: unlocking the opportunity for positive impact},
author = {Nenad Tomašev and Julien Cornebise and Frank Hutter and Shakir Mohamed and Mohammad Emtiyaz Khan and Ruben De Winne and Tom Schaul and Claudia Clopath},
year = {2020},
journal = {Nature Communications},
volume = {11},
number = {1},
publisher = {Nature Publishing Group},
keywords = {}
}
|
Volpp, Michael; Fröhlich, Lukas P; Fischer, Kirsten; Doerr, Andreas; Falkner, Stefan; Hutter, Frank; Daniel, Christian Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Inproceedings In: International Conference on Learning Representations, 2020. @inproceedings{Volpp2020Meta-Learning,
title = {Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization},
author = {Michael Volpp and Lukas P Fröhlich and Kirsten Fischer and Andreas Doerr and Stefan Falkner and Frank Hutter and Christian Daniel},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Zela, Arber; Siems, Julien; Hutter, Frank NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Inproceedings In: International Conference on Learning Representations, 2020. @inproceedings{Zela2020NAS-Bench-1Shot1:,
title = {NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search},
author = {Arber Zela and Julien Siems and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Zela, Arber; Elsken, Thomas; Saikia, Tonmoy; Marrakchi, Yassine; Brox, Thomas; Hutter, Frank Understanding and Robustifying Differentiable Architecture Search Inproceedings In: International Conference on Learning Representations, 2020, (Oral Presentation (Top 7%)). @inproceedings{Zela2020Understanding,
title = {Understanding and Robustifying Differentiable Architecture Search},
author = {Arber Zela and Thomas Elsken and Tonmoy Saikia and Yassine Marrakchi and Thomas Brox and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Gargiani, Matilde; Zanelli, Andrea; Tran-Dinh, Quoc; Diehl, Moritz; Hutter, Frank Transferring Optimally Across Data Distrutions via Homotopy Methods Inproceedings In: International Conference on Learning Representations, 2020. @inproceedings{Gargiani2020TransferringOptimally,
title = {Transferring Optimally Across Data Distrutions via Homotopy Methods},
author = {Matilde Gargiani and Andrea Zanelli and Quoc Tran-Dinh and Moritz Diehl and Frank Hutter},
year = {2020},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
2019
|
Rajan, Raghu; Hutter, Frank MDP Playground: Meta-Features in Reinforcement Learning Inproceedings In: NeurIPS 2019 Deep RL Workshop, 2019. @inproceedings{rajan-neurips19,
title = {MDP Playground: Meta-Features in Reinforcement Learning},
author = {Raghu Rajan and Frank Hutter},
year = {2019},
booktitle = {NeurIPS 2019 Deep RL Workshop},
keywords = {}
}
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Journal Article In: arXiv, vol. 1708.0373v2, pp. 1-6, 2019. @article{bischl-arxiv19a,
title = {OpenML Benchmarking Suites},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2019},
journal = {arXiv},
volume = {1708.0373v2},
pages = {1-6},
keywords = {}
}
|
Lindauer, Marius; Eggensperger, Katharina; Feurer, Matthias; Biedenkapp, André; Marben, Joshua; Müller, Philipp; Hutter, Frank BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters Journal Article In: arXiv:1908.06756 [cs.LG], 2019. @article{lindauer-arxiv19,
title = {BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters},
author = {Marius Lindauer and Katharina Eggensperger and Matthias Feurer and André Biedenkapp and Joshua Marben and Philipp Müller and Frank Hutter},
year = {2019},
journal = {arXiv:1908.06756 [cs.LG]},
keywords = {}
}
|
Lindauer, Marius; Feurer, Matthias; Eggensperger, Katharina; Biedenkapp, André; Hutter, Frank Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Inproceedings In: IJCAI 2019 DSO Workshop, 2019. @inproceedings{lindauer-dso19,
title = {Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters},
author = {Marius Lindauer and Matthias Feurer and Katharina Eggensperger and André Biedenkapp and Frank Hutter},
year = {2019},
booktitle = {IJCAI 2019 DSO Workshop},
keywords = {}
}
|
Biedenkapp, André; Bozkurt, Furkan H; Hutter, Frank; Lindauer, Marius Towards White-box Benchmarks for Algorithm Control Inproceedings In: IJCAI 2019 DSO Workshop, 2019. @inproceedings{biedenkapp-dso19,
title = {Towards White-box Benchmarks for Algorithm Control},
author = {André Biedenkapp and Furkan H Bozkurt and Frank Hutter and Marius Lindauer},
year = {2019},
booktitle = {IJCAI 2019 DSO Workshop},
keywords = {}
}
|
Fuks, L; Awad, N; Hutter, F; Lindauer, M An Evolution Strategy with Progressive Episode Lengths for Playing Games Inproceedings In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19), 2019. @inproceedings{fuks-ijcai19a,
title = {An Evolution Strategy with Progressive Episode Lengths for Playing Games},
author = {L Fuks and N Awad and F Hutter and M Lindauer},
year = {2019},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19)},
keywords = {}
}
|
Gargiani, M; Klein, A; Falkner, S; Hutter, F Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings Inproceedings In: 6th ICML Workshop on Automated Machine Learning, 2019. @inproceedings{Gargiani6automl,
title = {Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings},
author = {M Gargiani and A Klein and S Falkner and F Hutter},
year = {2019},
booktitle = {6th ICML Workshop on Automated Machine Learning},
keywords = {}
}
|
Feurer, Matthias; Hutter, Frank Hyperparameter Optimization Incollection In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Sytems, Challenges, pp. 3–33, Springer, 2019. @incollection{feurer-automlbook19a,
title = {Hyperparameter Optimization},
author = {Matthias Feurer and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
booktitle = {AutoML: Methods, Sytems, Challenges},
pages = {3--33},
publisher = {Springer},
chapter = {1},
keywords = {}
}
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost; Blum, Manuel; Hutter, Frank Auto-sklearn: Efficient and Robust Automated Machine Learning Incollection In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Systems, Challenges, pp. 113–134, Springer, 2019. @incollection{feurer-automlbook19b,
title = {Auto-sklearn: Efficient and Robust Automated Machine Learning},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Springenberg and Manuel Blum and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
doi = {10.1007/978-3-030-05318-5_6},
year = {2019},
booktitle = {AutoML: Methods, Systems, Challenges},
pages = {113--134},
publisher = {Springer},
chapter = {6},
keywords = {}
}
|
Mendoza, Hector; Klein, Aaron; Feurer, Matthias; Springenberg, Jost Tobias; Urban, Matthias; Burkart, Michael; Dippel, Max; Lindauer, Marius; Hutter, Frank Towards Automatically-Tuned Deep Neural Networks Incollection In: Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.): AutoML: Methods, Sytems, Challenges, pp. 135–149, Springer, 2019. @incollection{mendoza-automlbook19a,
title = {Towards Automatically-Tuned Deep Neural Networks},
author = {Hector Mendoza and Aaron Klein and Matthias Feurer and Jost Tobias Springenberg and Matthias Urban and Michael Burkart and Max Dippel and Marius Lindauer and Frank Hutter},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
booktitle = {AutoML: Methods, Sytems, Challenges},
pages = {135--149},
publisher = {Springer},
chapter = {7},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Neural Architecture Search: A Survey Journal Article In: Journal of Machine Learning Research, vol. 20, no. 55, pp. 1-21, 2019. @article{elsken-jmlr19a,
title = {Neural Architecture Search: A Survey},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2019},
journal = {Journal of Machine Learning Research},
volume = {20},
number = {55},
pages = {1-21},
keywords = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank Pitfalls and Best Practices in Algorithm Configuration Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 64, pp. 861–893, 2019. @article{eggensperger-jair19a,
title = {Pitfalls and Best Practices in Algorithm Configuration},
author = {Katharina Eggensperger and Marius Lindauer and Frank Hutter},
year = {2019},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {64},
pages = {861--893},
keywords = {}
}
|
Klein, Aaron; Dai, Zhenwen; Hutter, Frank; Lawrence, Neil; Gonzalez, Javier Meta-Surrogate Benchmarking for Hyperparameter Optimization Incollection In: Wallach, H; Larochelle, H; Beygelzimer, A; d' Alché-Buc, F; Fox, E; Garnett, R (Ed.): Advances in Neural Information Processing Systems 32, pp. 6270–6280, Curran Associates, Inc., 2019. @incollection{NIPS2019_8857,
title = {Meta-Surrogate Benchmarking for Hyperparameter Optimization},
author = {Aaron Klein and Zhenwen Dai and Frank Hutter and Neil Lawrence and Javier Gonzalez},
editor = {H Wallach and H Larochelle and A Beygelzimer and F d' Alché-Buc and E Fox and R Garnett},
year = {2019},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {6270--6280},
publisher = {Curran Associates, Inc.},
keywords = {}
}
|
Franke, Jörg KH; Köhler, Gregor; Awad, Noor; Hutter, Frank Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control Journal Article In: NeurIPS 2019 Workshop on Meta-Learning, 2019. @article{franke2019neural,
title = {Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control},
author = {Jörg KH Franke and Gregor Köhler and Noor Awad and Frank Hutter},
year = {2019},
journal = {NeurIPS 2019 Workshop on Meta-Learning},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Inproceedings In: International Conference on Learning Representations, 2019. @inproceedings{elsken2019efficient,
title = {Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (Ed.) Automated Machine Learning - Methods, Systems, Challenges Book Springer, 2019. @book{hutter2019automated,
title = {Automated Machine Learning - Methods, Systems, Challenges},
editor = {Frank Hutter and Lars Kotthoff and Joaquin Vanschoren},
year = {2019},
publisher = {Springer},
keywords = {}
}
|
Runge, Frederic; Stoll, Danny; Falkner, Stefan; Hutter, Frank Learning to Design RNA Inproceedings In: International Conference on Learning Representations, 2019. @inproceedings{runge2019learning,
title = {Learning to Design RNA},
author = {Frederic Runge and Danny Stoll and Stefan Falkner and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Loshchilov, Ilya; Hutter, Frank Decoupled Weight Decay Regularization Inproceedings In: International Conference on Learning Representations, 2019. @inproceedings{loshchilov2019decoupled,
title = {Decoupled Weight Decay Regularization},
author = {Ilya Loshchilov and Frank Hutter},
year = {2019},
booktitle = {International Conference on Learning Representations},
keywords = {}
}
|
Ying, Chris; Klein, Aaron; Real, Esteban; Christiansen, Eric; Murphy, Kevin; Hutter, Frank Nas-bench-101: Towards reproducible neural architecture search Inproceedings In: Thirty-sixth International Conference on Machine Learning, 2019. @inproceedings{ying2019bench,
title = {Nas-bench-101: Towards reproducible neural architecture search},
author = {Chris Ying and Aaron Klein and Esteban Real and Eric Christiansen and Kevin Murphy and Frank Hutter},
year = {2019},
booktitle = {Thirty-sixth International Conference on Machine Learning},
keywords = {}
}
|
Saikia, T; Marrakchi, Y; Zela, A; Hutter, F; Brox, T AutoDispNet: Improving Disparity Estimation With AutoML Inproceedings In: IEEE International Conference on Computer Vision (ICCV), 2019. @inproceedings{saikia19autodispnet,
title = {AutoDispNet: Improving Disparity Estimation With AutoML},
author = {T Saikia and Y Marrakchi and A Zela and F Hutter and T Brox},
year = {2019},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {}
}
|
2018
|
Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank Neural Networks for Predicting Algorithm Runtime Distributions Inproceedings In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’18), pp. 1442-1448, 2018. @inproceedings{eggensperger-ijcai18a,
title = {Neural Networks for Predicting Algorithm Runtime Distributions},
author = {Katharina Eggensperger and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’18)},
pages = {1442-1448},
keywords = {}
}
|
Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Inproceedings In: ICML 2018 AutoML Workshop, 2018. @inproceedings{zela-automl18,
title = {Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search},
author = {Arber Zela and Aaron Klein and Stefan Falkner and Frank Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Chrabąszcz, Patryk; Loshchilov, Ilya; Hutter, Frank Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari Inproceedings In: Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, IJCAI-18, pp. 1419–1426, International Joint Conferences on Artificial Intelligence Organization, 2018. @inproceedings{chrabaszcz-ijcai18a,
title = {Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari},
author = {Patryk Chrabąszcz and Ilya Loshchilov and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, IJCAI-18},
pages = {1419--1426},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
keywords = {}
}
|
Falkner, Stefan; Klein, Aaron; Hutter, Frank BOHB: Robust and Efficient Hyperparameter Optimization at Scale Inproceedings In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018), pp. 1436–1445, 2018. @inproceedings{falkner-icml-18,
title = {BOHB: Robust and Efficient Hyperparameter Optimization at Scale},
author = {Stefan Falkner and Aaron Klein and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML 2018)},
pages = {1436--1445},
keywords = {}
}
|
Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank Practical Automated Machine Learning for the AutoML Challenge 2018 Inproceedings In: ICML 2018 AutoML Workshop, 2018. @inproceedings{feurer-automl18b,
title = {Practical Automated Machine Learning for the AutoML Challenge 2018},
author = {Matthias Feurer and Katharina Eggensperger and Stefan Falkner and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Schirrmeister, R; Chrabąszcz, P; Hutter, F; Ball, T Training Generative Reversible Networks Inproceedings In: ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018. @inproceedings{schirrmeister_revnets18,
title = {Training Generative Reversible Networks},
author = {R Schirrmeister and P Chrabąszcz and F Hutter and T Ball},
year = {2018},
booktitle = {ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models},
keywords = {}
}
|
Feurer, M; Hutter, F Towards Further Automation in AutoML Inproceedings In: ICML 2018 AutoML Workshop, 2018. @inproceedings{feurer-automl18a,
title = {Towards Further Automation in AutoML},
author = {M Feurer and F Hutter},
year = {2018},
booktitle = {ICML 2018 AutoML Workshop},
keywords = {}
}
|
Biedenkapp, André; Marben, Joshua; Lindauer, Marius; Hutter, Frank CAVE: Configuration Assessment, Visualization and Evaluation Inproceedings In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18), 2018. @inproceedings{biedenkapp-lion18a,
title = {CAVE: Configuration Assessment, Visualization and Evaluation},
author = {André Biedenkapp and Joshua Marben and Marius Lindauer and Frank Hutter},
year = {2018},
booktitle = {Proceedings of the International Conference on Learning and Intelligent Optimization (LION'18)},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution Journal Article In: ArXiv e-prints, vol. 1804.09081, 2018. @article{elsken-nas-arxiv18a,
title = {Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2018},
journal = {ArXiv e-prints},
volume = {1804.09081},
keywords = {}
}
|
Ilg, Eddy; Cicek, Oezguen; Galesso, Silvio; Klein, Aaron; Makansi, Osama; Hutter, Frank; Brox, Thomas Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks Journal Article In: Proceedings of ECCV 2018, 2018. @article{ilg-arxiv18a,
title = {Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks},
author = {Eddy Ilg and Oezguen Cicek and Silvio Galesso and Aaron Klein and Osama Makansi and Frank Hutter and Thomas Brox},
year = {2018},
journal = {Proceedings of ECCV 2018},
keywords = {}
}
|
Lindauer, M; Hutter, F Warmstarting of Model-based Algorithm Configuration Inproceedings In: Proceedings of the AAAI conference, pp. 1355–1362, 2018. @inproceedings{lindauer-aaai18a,
title = {Warmstarting of Model-based Algorithm Configuration},
author = {M Lindauer and F Hutter},
year = {2018},
booktitle = {Proceedings of the AAAI conference},
pages = {1355--1362},
keywords = {}
}
|
Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H; Hutter, Frank; Leyton-Brown, Kevin Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates Journal Article In: Machine Learning, vol. 107, pp. 15-41, 2018. @article{eggensperger-ml18a,
title = {Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates},
author = {Katharina Eggensperger and Marius Lindauer and Holger H Hoos and Frank Hutter and Kevin Leyton-Brown},
year = {2018},
journal = {Machine Learning},
volume = {107},
pages = {15-41},
keywords = {}
}
|
Wilson, Dennis; Rodrigues, Silvio; Segura, Carlos; Loshchilov, Ilya; Hutter, Frank; Buenfil, Guillermo López; Kheiri, Ahmed; Keedwell, Ed; Ocampo-Pineda, Mario; Özcan, Ender; Peña, Sergio Ivvan Valdez; Goldman, Brian; Rionda, Salvador Botello; Hernández-Aguirre, Arturo; Veeramachaneni, Kalyan; Cussat-Blanc, Sylvain Evolutionary computation for wind farm layout optimization Journal Article In: Renewable Energy, vol. 126, pp. 681 - 691, 2018, ISSN: 0960-1481. @article{WILSON2018681,
title = {Evolutionary computation for wind farm layout optimization},
author = {Dennis Wilson and Silvio Rodrigues and Carlos Segura and Ilya Loshchilov and Frank Hutter and Guillermo López Buenfil and Ahmed Kheiri and Ed Keedwell and Mario Ocampo-Pineda and Ender Özcan and Sergio Ivvan Valdez Peña and Brian Goldman and Salvador Botello Rionda and Arturo Hernández-Aguirre and Kalyan Veeramachaneni and Sylvain Cussat-Blanc},
doi = {https://doi.org/10.1016/j.renene.2018.03.052},
year = {2018},
issn = {0960-1481},
journal = {Renewable Energy},
volume = {126},
pages = {681 - 691},
keywords = {}
}
|
Wilson, James; Hutter, Frank; Deisenroth, Marc Maximizing acquisition functions for Bayesian optimization Inproceedings In: Bengio, S; Wallach, H; Larochelle, H; Grauman, K; Cesa-Bianchi, N; Garnett, R (Ed.): Advances in Neural Information Processing Systems 31, pp. 9906–9917, Curran Associates, Inc., 2018. @inproceedings{wilson-nips2018,
title = {Maximizing acquisition functions for Bayesian optimization},
author = {James Wilson and Frank Hutter and Marc Deisenroth},
editor = {S Bengio and H Wallach and H Larochelle and K Grauman and N Cesa-Bianchi and R Garnett},
year = {2018},
booktitle = {Advances in Neural Information Processing Systems 31},
pages = {9906--9917},
publisher = {Curran Associates, Inc.},
keywords = {}
}
|
van Rijn, J N; Hutter, F Hyperparameter Importance Across Datasets Journal Article In: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018. @article{Rijn-Arxiv2017,
title = {Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2018},
journal = {SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)},
keywords = {}
}
|
2017
|
Klein, A; Falkner, S; Mansur, N; Hutter, F RoBO: A Flexible and Robust Bayesian Optimization Framework in Python Inproceedings In: NIPS 2017 Bayesian Optimization Workshop, 2017. @inproceedings{klein-bayesopt17,
title = {RoBO: A Flexible and Robust Bayesian Optimization Framework in Python},
author = {A Klein and S Falkner and N Mansur and F Hutter},
year = {2017},
booktitle = {NIPS 2017 Bayesian Optimization Workshop},
keywords = {}
}
|
Falkner, S; Klein, A; Hutter, F Combining Hyperband and Bayesian Optimization Inproceedings In: NIPS 2017 Bayesian Optimization Workshop, 2017. @inproceedings{falkner-bayesopt17,
title = {Combining Hyperband and Bayesian Optimization},
author = {S Falkner and A Klein and F Hutter},
year = {2017},
booktitle = {NIPS 2017 Bayesian Optimization Workshop},
keywords = {}
}
|
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank Simple And Efficient Architecture Search for Convolutional Neural Networks Inproceedings In: NIPS Workshop on Meta-Learning, 2017. @inproceedings{elsken_nas_mtl17a,
title = {Simple And Efficient Architecture Search for Convolutional Neural Networks},
author = {Thomas Elsken and Jan Hendrik Metzen and Frank Hutter},
year = {2017},
booktitle = {NIPS Workshop on Meta-Learning},
keywords = {}
}
|
Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites and the OpenML100 Journal Article In: arXiv, vol. 1708.0373v1, pp. 1-6, 2017. @article{bischl-arxiv17a,
title = {OpenML Benchmarking Suites and the OpenML100},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2017},
journal = {arXiv},
volume = {1708.0373v1},
pages = {1-6},
keywords = {}
}
|
Greff, K; Klein, A; Chovanec, M; Hutter, F; Schmidhuber, J The Sacred Infrastructure for Computational Research Inproceedings In: Proceedings of the 15th Python in Science Conference (SciPy 2017), 2017. @inproceedings{greff-scipy17,
title = {The Sacred Infrastructure for Computational Research},
author = {K Greff and A Klein and M Chovanec and F Hutter and J Schmidhuber},
year = {2017},
booktitle = {Proceedings of the 15th Python in Science Conference (SciPy 2017)},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) Inproceedings In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17), 2017. @inproceedings{lindauer-ijcai17,
title = {AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract)},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2017},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'17)},
keywords = {}
}
|
Loshchilov, I; Hutter, F SGDR: Stochastic Gradient Descent with Warm Restarts Inproceedings In: International Conference on Learning Representations (ICLR) 2017 Conference Track, 2017. @inproceedings{loshchilov-ICLR17SGDR,
title = {SGDR: Stochastic Gradient Descent with Warm Restarts},
author = {I Loshchilov and F Hutter},
year = {2017},
booktitle = {International Conference on Learning Representations (ICLR) 2017 Conference Track},
keywords = {}
}
|
Klein, A; Falkner, S; Springenberg, J T; Hutter, F Learning Curve Prediction with Bayesian Neural Networks Inproceedings In: International Conference on Learning Representations (ICLR) 2017 Conference Track, 2017. @inproceedings{klein-iclr17,
title = {Learning Curve Prediction with Bayesian Neural Networks},
author = {A Klein and S Falkner and J T Springenberg and F Hutter},
year = {2017},
booktitle = {International Conference on Learning Representations (ICLR) 2017 Conference Track},
keywords = {}
}
|
Wagner, M; Lindauer, M; Misir, M; Nallaperuma, S; Hutter, F A case study of algorithm selection for the traveling thief problem Journal Article In: Journal of Heuristics, pp. 1-26, 2017. @article{wagner-joh17a,
title = {A case study of algorithm selection for the traveling thief problem},
author = {M Wagner and M Lindauer and M Misir and S Nallaperuma and F Hutter},
year = {2017},
journal = {Journal of Heuristics},
pages = {1-26},
keywords = {}
}
|
Biedenkapp, André; Lindauer, Marius; Eggensperger, Katharina; Fawcett, Chris; Hoos, Holger H; Hutter, Frank Efficient Parameter Importance Analysis via Ablation with Surrogates Inproceedings In: Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI'17), pp. 773–779, 2017. @inproceedings{biedenkapp-aaai17a,
title = {Efficient Parameter Importance Analysis via Ablation with Surrogates},
author = {André Biedenkapp and Marius Lindauer and Katharina Eggensperger and Chris Fawcett and Holger H Hoos and Frank Hutter},
year = {2017},
booktitle = {Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI'17)},
pages = {773--779},
keywords = {}
}
|
Hutter, F; Lindauer, M; Balint, A; Bayless, S; Hoos, H; Leyton-Brown, K The Configurable SAT Solver Challenge (CSSC) Journal Article In: Artificial Intelligence Journal (AIJ), vol. 243, pp. 1-25, 2017. @article{hutter-aij17a,
title = {The Configurable SAT Solver Challenge (CSSC)},
author = {F Hutter and M Lindauer and A Balint and S Bayless and H Hoos and K Leyton-Brown},
year = {2017},
journal = {Artificial Intelligence Journal (AIJ)},
volume = {243},
pages = {1-25},
keywords = {}
}
|
Lindauer, M; Hutter, F Pitfalls and Best Practices for Algorithm Configuration (Breakout Session Report) Journal Article In: Dagstuhl Reports, vol. 6, pp. 70-72, 2017. @article{lindauer-dagstuhl17a,
title = {Pitfalls and Best Practices for Algorithm Configuration (Breakout Session Report)},
author = {M Lindauer and F Hutter},
year = {2017},
journal = {Dagstuhl Reports},
volume = {6},
pages = {70-72},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
keywords = {}
}
|
Schirrmeister, Robin; Springenberg, Jost Tobias; Fiederer, Lukas; Glasstetter, Martin; Eggensperger, Katharina; Tangermann, Michael; Hutter, Frank; Burgard, Wolfram; Ball, Tonio Deep learning with convolutional neural networks for EEG decoding and visualization Journal Article In: Human Brain Mapping, vol. 38, pp. 5391–5420, 2017. @article{schirrmeister-17a,
title = {Deep learning with convolutional neural networks for EEG decoding and visualization},
author = {Robin Schirrmeister and Jost Tobias Springenberg and Lukas Fiederer and Martin Glasstetter and Katharina Eggensperger and Michael Tangermann and Frank Hutter and Wolfram Burgard and Tonio Ball},
year = {2017},
journal = {Human Brain Mapping},
volume = {38},
pages = {5391--5420},
keywords = {}
}
|
Chrabaszcz, Patryk; Loshchilov, Ilya; Hutter, Frank A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets Miscellaneous 2017. @misc{chrabaszcz2017downsampled,
title = {A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets},
author = {Patryk Chrabaszcz and Ilya Loshchilov and Frank Hutter},
year = {2017},
keywords = {}
}
|
Wilson, James T.; Moriconi, Riccardo; Hutter, Frank; Deisenroth, Marc P. The Reparameterization Trick for Acquisition Functions Inproceedings In: NIPS Workshop on Bayesian Optimization, 2017. @inproceedings{Wilson2017,
title = {The Reparameterization Trick for Acquisition Functions},
author = {James T. Wilson and Riccardo Moriconi and Frank Hutter and Marc P. Deisenroth},
year = {2017},
booktitle = {NIPS Workshop on Bayesian Optimization},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Leyton-Brown, K Selection and Configuration of Parallel Portfolios Incollection In: Hamadi, Y; Sais, L (Ed.): Handbook of Parallel Constraint Reasoning, Springer, 2017. @incollection{lindauer-parallel_ac_as17,
title = {Selection and Configuration of Parallel Portfolios},
author = {M Lindauer and H Hoos and F Hutter and K Leyton-Brown},
editor = {Y Hamadi and L Sais},
year = {2017},
booktitle = {Handbook of Parallel Constraint Reasoning},
publisher = {Springer},
chapter = {15},
keywords = {}
}
|
Klein, A; Falkner, S; Bartels, S; Hennig, P; Hutter, F Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Inproceedings In: Proceedings of the AISTATS conference, 2017. @inproceedings{klein-aistats17,
title = {Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets},
author = {A Klein and S Falkner and S Bartels and P Hennig and F Hutter},
year = {2017},
booktitle = {Proceedings of the AISTATS conference},
keywords = {}
}
|
Klein, A; Falkner, S; Bartels, S; Hennig, P; Hutter, F Fast Bayesian hyperparameter optimization on large datasets Inproceedings In: Electronic Journal of Statistics, 2017. @inproceedings{klein-ejs17,
title = {Fast Bayesian hyperparameter optimization on large datasets},
author = {A Klein and S Falkner and S Bartels and P Hennig and F Hutter},
year = {2017},
booktitle = {Electronic Journal of Statistics},
volume = {11},
keywords = {}
}
|
van Rijn, J N; Hutter, F An Empirical Study of Hyperparameter Importance Across Datasets Inproceedings In: Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017), pp. 97–104, 2017. @inproceedings{rijn-automl2017,
title = {An Empirical Study of Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2017},
booktitle = {Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017)},
volume = {1998},
pages = {97--104},
keywords = {}
}
|
2016
|
Springenberg, J T; Klein, A; Falkner, S; Hutter, F Bayesian optimization with robust Bayesian neural networks Inproceedings In: Advances in Neural Information Processing Systems 29, 2016. @inproceedings{springenberg-nips2016,
title = {Bayesian optimization with robust Bayesian neural networks},
author = {J T Springenberg and A Klein and S Falkner and F Hutter},
year = {2016},
booktitle = {Advances in Neural Information Processing Systems 29},
keywords = {}
}
|
Bischl, B; Kerschke, P; Kotthoff, L; Lindauer, M; Malitsky, Y; Frechétte, A; Hoos, H; Hutter, F; Leyton-Brown, K; Tierney, K; Vanschoren, J ASlib: A Benchmark Library for Algorithm Selection Journal Article In: Artificial Intelligence Journal (AIJ), vol. 237, pp. 41-58, 2016. @article{bischl-aij16a,
title = {ASlib: A Benchmark Library for Algorithm Selection},
author = {B Bischl and P Kerschke and L Kotthoff and M Lindauer and Y Malitsky and A Frechétte and H Hoos and F Hutter and K Leyton-Brown and K Tierney and J Vanschoren},
year = {2016},
journal = {Artificial Intelligence Journal (AIJ)},
volume = {237},
pages = {41-58},
keywords = {}
}
|
Mendoza, H; Klein, A; Feurer, M; Springenberg, J; Hutter, F Towards Automatically-Tuned Neural Networks Inproceedings In: ICML 2016 AutoML Workshop, 2016. @inproceedings{mendoza-automl16a,
title = {Towards Automatically-Tuned Neural Networks},
author = {H Mendoza and A Klein and M Feurer and J Springenberg and F Hutter},
year = {2016},
booktitle = {ICML 2016 AutoML Workshop},
keywords = {}
}
|
Loshchilov, I; Hutter, F Online Batch Selection for Faster Training of Neural Networks Inproceedings In: International Conference on Learning Representations (ICLR) 2016 Workshop Track, 2016. @inproceedings{loshchilov-ICLR16batchsel,
title = {Online Batch Selection for Faster Training of Neural Networks},
author = {I Loshchilov and F Hutter},
year = {2016},
booktitle = {International Conference on Learning Representations (ICLR) 2016 Workshop Track},
keywords = {}
}
|
Loshchilov, I; Hutter, F CMA-ES for Hyperparameter Optimization of Deep Neural Networks Inproceedings In: International Conference on Learning Representations (ICLR) 2016 Workshop Track, 2016. @inproceedings{loshchilov-ICLR16hyperparam,
title = {CMA-ES for Hyperparameter Optimization of Deep Neural Networks},
author = {I Loshchilov and F Hutter},
year = {2016},
booktitle = {International Conference on Learning Representations (ICLR) 2016 Workshop Track},
keywords = {}
}
|
Wang, Ziyu; Hutter, Frank; Zoghi, Masrour; Matheson, David; de Freitas, Nando Bayesian Optimization in a Billion Dimensions via Random Embeddings Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 55, pp. 361-387, 2016. @article{wang-jair2016,
title = {Bayesian Optimization in a Billion Dimensions via Random Embeddings},
author = {Ziyu Wang and Frank Hutter and Masrour Zoghi and David Matheson and Nando de Freitas},
year = {2016},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {55},
pages = {361-387},
keywords = {}
}
|
Meinel, Andreas; Eggensperger, Katharina; Tangermann, Michael; Hutter, Frank Hyperparameter Optimization for Machine Learning Problems in BCI (Abstract) Inproceedings In: Proceedings of the International Brain Computer Interface Meeting 2016, 2016. @inproceedings{meinel-bci16a,
title = {Hyperparameter Optimization for Machine Learning Problems in BCI (Abstract)},
author = {Andreas Meinel and Katharina Eggensperger and Michael Tangermann and Frank Hutter},
year = {2016},
booktitle = {Proceedings of the International Brain Computer Interface Meeting 2016},
keywords = {}
}
|
Schubert, Tobias; Eggensperger, Katharina; Gkogkidis, Alexis; Hutter, Frank; Ball, Tonio; Burgard, Wolfram Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture Inproceedings In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'16), 2016, (Video showing the results of the optimization procedure). @inproceedings{schubert_icra16a,
title = {Automatic Bone Parameter Estimation for Skeleton Tracking in Optical Motion Capture},
author = {Tobias Schubert and Katharina Eggensperger and Alexis Gkogkidis and Frank Hutter and Tonio Ball and Wolfram Burgard},
year = {2016},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'16)},
keywords = {}
}
|
2015
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost Tobias; Blum, Manuel; Hutter, Frank Efficient and Robust Automated Machine Learning Inproceedings In: Advances in Neural Information Processing Systems 28 (NeurIPS'15), pp. 2962–2970, 2015. @inproceedings{feurer-neurip2015,
title = {Efficient and Robust Automated Machine Learning},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Tobias Springenberg and Manuel Blum and Frank Hutter},
year = {2015},
booktitle = {Advances in Neural Information Processing Systems 28 (NeurIPS'15)},
pages = {2962--2970},
keywords = {}
}
|
Klein, A; Bartels, S; Falkner, S; Hennig, P; Hutter, F Towards efficient Bayesian Optimization for Big Data Inproceedings In: NIPS 2015 Bayesian Optimization Workshop, 2015. @inproceedings{klein-bayesopt15,
title = {Towards efficient Bayesian Optimization for Big Data},
author = {A Klein and S Bartels and S Falkner and P Hennig and F Hutter},
year = {2015},
booktitle = {NIPS 2015 Bayesian Optimization Workshop},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: An automatically configured Algorithm Selector Journal Article In: Journal of Artificial Intelligence, vol. 53, pp. 745-778, 2015. @article{lindauer-jair15a,
title = {AutoFolio: An automatically configured Algorithm Selector},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2015},
journal = {Journal of Artificial Intelligence},
volume = {53},
pages = {745-778},
keywords = {}
}
|
Falkner, S; Lindauer, M; Hutter, F SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers Inproceedings In: Proceedings of the International Conference on Satisfiability Solving (SAT'15), pp. 1-8, 2015. @inproceedings{falkner-sat15a,
title = {SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers},
author = {S Falkner and M Lindauer and F Hutter},
year = {2015},
booktitle = {Proceedings of the International Conference on Satisfiability Solving (SAT'15)},
pages = {1-8},
keywords = {}
}
|
Feurer, Matthias; Klein, Aaron; Eggensperger, Katharina; Springenberg, Jost Tobias; Blum, Manuel; Hutter, Frank Methods for Improving Bayesian Optimization for AutoML Inproceedings In: ICML 2015 AutoML Workshop, 2015. @inproceedings{feurer-automl15a,
title = {Methods for Improving Bayesian Optimization for AutoML},
author = {Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Tobias Springenberg and Manuel Blum and Frank Hutter},
year = {2015},
booktitle = {ICML 2015 AutoML Workshop},
keywords = {}
}
|
Vallati, Mauro; Hutter, Frank; Chrpa, Lukáš; McCluskey, T L On the Effective Configuration of Planning Domain Models Inproceedings In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), AAAI press, 2015. @inproceedings{ValHutChrMcC15,
title = {On the Effective Configuration of Planning Domain Models},
author = {Mauro Vallati and Frank Hutter and Lukáš Chrpa and T L McCluskey},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
publisher = {AAAI press},
keywords = {}
}
|
Domhan, T; Springenberg, J T; Hutter, F Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves Inproceedings In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015. @inproceedings{DomSprHut15,
title = {Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves},
author = {T Domhan and J T Springenberg and F Hutter},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Hutter, F; Lücke, J; Schmidt-Thieme, L Beyond Manual Tuning of Hyperparameters Journal Article In: Künstliche Intelligenz, vol. 0, pp. 1-9, 2015. @article{HutLueSch15,
title = {Beyond Manual Tuning of Hyperparameters},
author = {F Hutter and J Lücke and L Schmidt-Thieme},
year = {2015},
journal = {Künstliche Intelligenz},
volume = {0},
pages = {1-9},
keywords = {}
}
|
Hutter, F; Xu, L; Hoos, H H; Leyton-Brown, K Algorithm runtime prediction: Methods & evaluation (extended abstract) Inproceedings In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 2015. @inproceedings{HutXuHooLey15,
title = {Algorithm runtime prediction: Methods & evaluation (extended abstract)},
author = {F Hutter and L Xu and H H Hoos and K Leyton-Brown},
year = {2015},
booktitle = {Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Eggensperger, K; Hutter, F; Hoos, H H; Leyton-Brown, K Efficient Benchmarking of Hyperparameter Optimizers via Surrogates Inproceedings In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Eggensperger2015,
title = {Efficient Benchmarking of Hyperparameter Optimizers via Surrogates},
author = {K Eggensperger and F Hutter and H H Hoos and K Leyton-Brown},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
Feurer, M; Springenberg, T; Hutter, F Initializing Bayesian Hyperparameter Optimization via Meta-Learning Inproceedings In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Feurer2015,
title = {Initializing Bayesian Hyperparameter Optimization via Meta-Learning},
author = {M Feurer and T Springenberg and F Hutter},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
Lindauer, M; Hoos, H; Hutter, F; Schaub, T AutoFolio: Algorithm Configuration for Algorithm Selection Inproceedings In: Proceedings of the Twenty-Ninth AAAI Workshops on Artificial Intelligence, 2015. @inproceedings{lindauer-aaai15a,
title = {AutoFolio: Algorithm Configuration for Algorithm Selection},
author = {M Lindauer and H Hoos and F Hutter and T Schaub},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Workshops on Artificial Intelligence},
keywords = {}
}
|
Seipp, J; Sievers, S; Helmert, M; Hutter, F Automatic Configuration of Sequential Planning Portfolios Inproceedings In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. @inproceedings{Seipp2015,
title = {Automatic Configuration of Sequential Planning Portfolios},
author = {J Seipp and S Sievers and M Helmert and F Hutter},
year = {2015},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
keywords = {}
}
|
Vanschoren, J; Bischl, B; Hutter, F; Sebag, M; Kegl, B; Schmid, M; Napolitano, G; Wolstencroft, K; Williams, A R; Lawrence, N Towards a Data Science Collaboratory Inproceedings In: Advances in Intelligent Data Analysis XIV (IDA 2015), 2015. @inproceedings{vanschoren-ida2015,
title = {Towards a Data Science Collaboratory},
author = {J Vanschoren and B Bischl and F Hutter and M Sebag and B Kegl and M Schmid and G Napolitano and K Wolstencroft and A R Williams and N Lawrence},
year = {2015},
booktitle = {Advances in Intelligent Data Analysis XIV (IDA 2015)},
keywords = {}
}
|
Lindauer, M; Hoos, H; F,; Hutter, From Sequential Algorithm Selection to Parallel Portfolio Selection Inproceedings In: Proceedings of the International Conference on Learning and Intelligent Optimization (LION'15), 2015. @inproceedings{lindauer-lion15a,
title = {From Sequential Algorithm Selection to Parallel Portfolio Selection},
author = {M Lindauer and H Hoos and F and Hutter},
year = {2015},
booktitle = {Proceedings of the International Conference on Learning and Intelligent Optimization (LION'15)},
keywords = {}
}
|
2014
|
Seipp, Jendrick; Sievers, Silvan; Hutter, Frank Fast Downward SMAC Miscellaneous 2014, (Planner abstract, IPC 2014 Planning and Learning TrackBest basic solver award, and third place in the categories overall best
quality and best learner.). @misc{SeippEtAl2014b,
title = {Fast Downward SMAC},
author = {Jendrick Seipp and Silvan Sievers and Frank Hutter},
year = {2014},
keywords = {}
}
|
Seipp, Jendrick; Sievers, Silvan; Hutter, Frank Fast Downward Cedalion Miscellaneous 2014, (Planner abstract, IPC 2014 Planning and Learning TrackBest learner award, and second place in the category overall best quality at the IPC 2014 Planning and Learning Track. Also achieved the highest coverage in the IPC 2014 sequential agile planning track.). @misc{SeippEtAl2014a,
title = {Fast Downward Cedalion},
author = {Jendrick Seipp and Silvan Sievers and Frank Hutter},
year = {2014},
keywords = {}
}
|
Eggensperger, Katharina; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Surrogate Benchmarks for Hyperparameter Optimization Inproceedings In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel), pp. 24-31, 2014, (Superseeded by the AAAI15 paper _Efficient Benchmarking of Hyperparameter
Optimizers via Surrogates_). @inproceedings{EggHutHooLey,
title = {Surrogate Benchmarks for Hyperparameter Optimization},
author = {Katharina Eggensperger and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {ECAI workshop on Metalearning and Algorithm Selection (MetaSel)},
pages = {24-31},
keywords = {}
}
|
Feurer, M; Springenberg, T; Hutter, F Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters Inproceedings In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel), pp. 3–10, 2014, (Superseeded by the AAAI15 paper _Initializing Bayesian Hyperparameter
Optimization via Meta-Learning_). @inproceedings{FeuSprHut,
title = {Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters},
author = {M Feurer and T Springenberg and F Hutter},
year = {2014},
booktitle = {ECAI workshop on Metalearning and Algorithm Selection (MetaSel)},
pages = {3--10},
keywords = {}
}
|
Domhan, Tobias; Springenberg, Tobias; Hutter, Frank Extrapolating Learning Curves of Deep Neural Networks Inproceedings In: ICML 2014 AutoML Workshop, 2014. @inproceedings{DomSprHut14,
title = {Extrapolating Learning Curves of Deep Neural Networks},
author = {Tobias Domhan and Tobias Springenberg and Frank Hutter},
year = {2014},
booktitle = {ICML 2014 AutoML Workshop},
keywords = {}
}
|
Fawcett, Chris; Vallati, Mauro; Hutter, Frank; Hoffmann, Jörg; Hoos, Holger; Leyton-Brown, Kevin Improved Features for Runtime Prediction of Domain-Independent Planners Inproceedings In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 2014), 2014. @inproceedings{FawEtAl14:PlanningFeatures,
title = {Improved Features for Runtime Prediction of Domain-Independent Planners},
author = {Chris Fawcett and Mauro Vallati and Frank Hutter and Jörg Hoffmann and Holger Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS 2014)},
keywords = {}
}
|
Hutter, F; Hoos, H; Leyton-Brown, K An Efficient Approach for Assessing Hyperparameter Importance Inproceedings In: Proceedings of International Conference on Machine Learning 2014 (ICML 2014), pp. 754–762, 2014. @inproceedings{HutHooLey14,
title = {An Efficient Approach for Assessing Hyperparameter Importance},
author = {F Hutter and H Hoos and K Leyton-Brown},
year = {2014},
booktitle = {Proceedings of International Conference on Machine Learning 2014 (ICML 2014)},
pages = {754--762},
keywords = {}
}
|
Leyton-Brown, Kevin; Hoos, Holger; Hutter, Frank; Xu, Lin Understanding the Empirical Hardness of NP-complete Problems Journal Article In: Communications of the Association for Computing Machinery (CACM), vol. 57, no. 5, pp. 98–107, 2014. @article{LeyHooHutXu14,
title = {Understanding the Empirical Hardness of NP-complete Problems},
author = {Kevin Leyton-Brown and Holger Hoos and Frank Hutter and Lin Xu},
year = {2014},
journal = {Communications of the Association for Computing Machinery (CACM)},
volume = {57},
number = {5},
pages = {98--107},
publisher = {ACM},
keywords = {}
}
|
Geschwender, Daniel; Hutter, Frank; Kotthoff, Lars; Malitsky, Yuri; Hoos, Holger; Leyton-Brown, Kevin Algorithm Configuration in the Cloud: A Feasibility Study Inproceedings In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014. @inproceedings{GesHutKotMalHooLey14,
title = {Algorithm Configuration in the Cloud: A Feasibility Study},
author = {Daniel Geschwender and Frank Hutter and Lars Kotthoff and Yuri Malitsky and Holger Hoos and Kevin Leyton-Brown},
year = {2014},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)},
keywords = {}
}
|
Hutter, Frank; López-Ibáñez, Manuel; Fawcett, Chris; Lindauer, Marius; Hoos, Holger; Leyton-Brown, Kevin; Stützle, Thomas AClib: a Benchmark Library for Algorithm Configuration Inproceedings In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014. @inproceedings{HutEtAl14:AClib,
title = {AClib: a Benchmark Library for Algorithm Configuration},
author = {Frank Hutter and Manuel López-Ibáñez and Chris Fawcett and Marius Lindauer and Holger Hoos and Kevin Leyton-Brown and Thomas Stützle},
year = {2014},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)},
keywords = {}
}
|
Hutter, F; Xu, L; Hoos, H H; Leyton-Brown, K Algorithm runtime prediction: Methods & evaluation Journal Article In: Artificial Intelligence, vol. 206, no. 0, pp. 79–111, 2014, (The data and source code for this paper are available from our Empirical Performance Models project page). @article{HutXuHooLey14,
title = {Algorithm runtime prediction: Methods & evaluation},
author = {F Hutter and L Xu and H H Hoos and K Leyton-Brown},
year = {2014},
journal = {Artificial Intelligence},
volume = {206},
number = {0},
pages = {79--111},
keywords = {}
}
|
2013
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin An Efficient Approach for Assessing Parameter Importance in Bayesian Optimization Inproceedings In: NIPS workshop on Bayesian Optimization in Theory and Practice, 2013. @inproceedings{HutHooLey13,
title = {An Efficient Approach for Assessing Parameter Importance in Bayesian Optimization},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2013},
booktitle = {NIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Swersky, Kevin; Duvenaud, David; Snoek, Jasper; Hutter, Frank; Osborne, Michael Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces Inproceedings In: NIPS workshop on Bayesian Optimization in Theory and Practice, 2013. @inproceedings{SweDuvSnoHutOsb13,
title = {Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces},
author = {Kevin Swersky and David Duvenaud and Jasper Snoek and Frank Hutter and Michael Osborne},
year = {2013},
booktitle = {NIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Eggensperger, Katharina; Feurer, Matthias; Hutter, Frank; Bergstra, James; Snoek, Jasper; Hoos, Holger H; Leyton-Brown, Kevin Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters Inproceedings In: NeurIPS workshop on Bayesian Optimization in Theory and Practice, 2013, (Software and benchmarks are available from our HPOlib website.). @inproceedings{eggensperger-bayesopt13a,
title = {Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters},
author = {Katharina Eggensperger and Matthias Feurer and Frank Hutter and James Bergstra and Jasper Snoek and Holger H Hoos and Kevin Leyton-Brown},
year = {2013},
booktitle = {NeurIPS workshop on Bayesian Optimization in Theory and Practice},
keywords = {}
}
|
Wang, Z; Zoghi, M; Hutter, F; Matheson, D; de Freitas, N Bayesian Optimization in High Dimensions via Random Embeddings Inproceedings In: Proceedings of the 23rd international joint conference on Artificial Intelligence (IJCAI), pp. 1778-1784, AAAI Press 2013, (Distinguished paper award. ). @inproceedings{WangEtAl13,
title = {Bayesian Optimization in High Dimensions via Random Embeddings},
author = {Z Wang and M Zoghi and F Hutter and D Matheson and N de Freitas},
year = {2013},
booktitle = {Proceedings of the 23rd international joint conference on Artificial Intelligence (IJCAI)},
pages = {1778-1784},
organization = {AAAI Press},
keywords = {}
}
|
Thornton, C; Hutter, F; Hoos, H H; Leyton-Brown, K Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms Inproceedings In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), 2013, (The software is available from our Auto-WEKA
page.). @inproceedings{ThoHutHooLey13,
title = {Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms},
author = {C Thornton and F Hutter and H H Hoos and K Leyton-Brown},
year = {2013},
booktitle = {Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13)},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K An Evaluation of Sequential Model-Based Optimization for Expensive Blackbox Functions Inproceedings In: Proceedings of GECCO-13 Workshop on Blackbox Optimization Benchmarking (BBOB'13), 2013, (Software and data are available from the SMAC
page.). @inproceedings{HutHooLey13b,
title = {An Evaluation of Sequential Model-Based Optimization for Expensive Blackbox Functions},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2013},
booktitle = {Proceedings of GECCO-13 Workshop on Blackbox Optimization Benchmarking (BBOB'13)},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Identifying Key Algorithm Parameters and Instance Features using Forward Selection Incollection In: Nicosia, Giuseppe; Pardalos, Panos (Ed.): Proceedings of the 7th International Conference on Learning and Optimization (LION-7), Springer Berlin Heidelberg, 2013, (The data and source code for this paper are available from our Empirical
Performance Models project page.). @incollection{HutHooLey13c,
title = {Identifying Key Algorithm Parameters and Instance Features using Forward Selection},
author = {F Hutter and H H Hoos and K Leyton-Brown},
editor = {Giuseppe Nicosia and Panos Pardalos},
year = {2013},
booktitle = {Proceedings of the 7th International Conference on Learning and Optimization (LION-7)},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
2012
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors Inproceedings In: International Conference on Theory and Applications of Satisfiability Testing (SAT'12), 2012. @inproceedings{XuHutHoosLey12,
title = {Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2012},
booktitle = {International Conference on Theory and Applications of Satisfiability Testing (SAT'12)},
keywords = {}
}
|
Xu, L; Hutter, F; Shen, J; Hoos, H; Leyton-Brown, K SATzilla2012: Improved Algorithm Selection Based on Cost-sensitive Classification Models Unpublished 2012, (Published online. Solver description for the 2012 SAT challenge. SATzilla2012 won 3 out of the 4
categories for which it was eligible, and placed 2nd in the remaining one.
Details: it won the sequential portfolio track, was the best solver for 2 of the 3 main sequential categories (Application and Hard Combinatorial), and 2nd
in the sequential Random Category (beaten only by a new non-portfolio solver,
CCASAT). See the SATzilla
project page for details on SATzilla and source code.). @unpublished{XuEtAl12,
title = {SATzilla2012: Improved Algorithm Selection Based on Cost-sensitive Classification Models},
author = {L Xu and F Hutter and J Shen and H Hoos and K Leyton-Brown},
editor = {Adrian Balint and Anton Belov and Daniel Diepold and Simon Gerber and Matti Järvisalo and Carsten Sinz},
year = {2012},
booktitle = {Proceedings of SAT Challenge 2012: Solver and Benchmark Descriptions},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Parallel Algorithm Configuration Inproceedings In: Proceedings of the Learning and Intelligent OptimizatioN Conference LION 6, pp. 55-70, 2012. @inproceedings{HutHooLey12d,
title = {Parallel Algorithm Configuration},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2012},
booktitle = {Proceedings of the Learning and Intelligent OptimizatioN Conference LION 6},
pages = {55-70},
keywords = {}
}
|
2011
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Bayesian Optimization With Censored Response Data Inproceedings In: NIPS workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits, 2011, (Published online. There is also a new, extended
arXiv version.). @inproceedings{HutHooLey11b,
title = {Bayesian Optimization With Censored Response Data},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2011},
booktitle = {NIPS workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Hydra-MIP: Automated Algorithm Configuration and Selection for Mixed Integer Programming Inproceedings In: RCRA workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion at the International Joint Conference on Artificial Intelligence (IJCAI), 2011. @inproceedings{XuHutHooLey,
title = {Hydra-MIP: Automated Algorithm Configuration and Selection for Mixed Integer Programming},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2011},
booktitle = {RCRA workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion at the International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin Detailed SATzilla Results from the Data Analysis Track of the 2011 SAT Competition Miscellaneous 2011. @misc{XuEtAl2011,
title = {Detailed SATzilla Results from the Data Analysis Track of the 2011 SAT Competition},
author = {Lin Xu and Frank Hutter and Holger Hoos and Kevin Leyton-Brown},
year = {2011},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Sequential Model-Based Optimization for General Algorithm Configuration Inproceedings In: Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 5), pp. 507-523, 2011, (Best paper award (second prize).
SMAC, ROAR, and the instances used are available from the Automated Algorithm Configuration project page.
An extended version with additional details is available as UBC tech report
TR-2010-10. (pdf) (bib)). @inproceedings{HutHooLey11,
title = {Sequential Model-Based Optimization for General Algorithm Configuration},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2011},
booktitle = {Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 5)},
pages = {507-523},
keywords = {}
}
|
2010
|
Hutter, F; Bartz-Beielstein, T; Hoos, H H; Leyton-Brown, K; Murphy, K P Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches Incollection In: Bartz-Beielstein, T; Chiarandini, M; Paquete, L; Preuss, M (Ed.): Empirical Methods for the Analysis of Optimization Algorithms, pp. 361–411, Springer, 2010. @incollection{HutBeiHooLey10,
title = {Sequential Model-Based Parameter Optimisation: an Experimental Investigation of Automated and Interactive Approaches},
author = {F Hutter and T Bartz-Beielstein and H H Hoos and K Leyton-Brown and K P Murphy},
editor = {T Bartz-Beielstein and M Chiarandini and L Paquete and M Preuss},
year = {2010},
booktitle = {Empirical Methods for the Analysis of Optimization Algorithms},
pages = {361--411},
publisher = {Springer},
chapter = {15},
keywords = {}
}
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin Tradeoffs in the Empirical Evaluation of Competing Algorithm Designs Journal Article In: Annals of Mathematics and Artificial Intelligenc (AMAI), Special Issue on Learning and Intelligent Optimization, vol. 60, no. 1, pp. 65–89, 2010, (The data from this paper, as well as the empirical analysis tools we
introduced are available from the Automated Algorithm Configuration project
page.). @article{HutHooLey10,
title = {Tradeoffs in the Empirical Evaluation of Competing Algorithm Designs},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2010},
journal = {Annals of Mathematics and Artificial Intelligenc (AMAI), Special Issue on Learning and Intelligent Optimization},
volume = {60},
number = {1},
pages = {65--89},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Sequential Model-Based Optimization for General Algorithm Configuration (extended version) Technical Report University of British Columbia, Department of Computer Science no. TR-2010-10, 2010. @techreport{HutHooLey10c,
title = {Sequential Model-Based Optimization for General Algorithm Configuration (extended version)},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2010},
number = {TR-2010-10},
institution = {University of British Columbia, Department of Computer Science},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K Automated Configuration of Mixed Integer Programming Solvers Inproceedings In: Proceedings of the Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR), pp. 186-202, 2010, (Our webpage on Automated Configuration of MIP
solvers also gives the parameter files for CPLEX, Gurobi, and lpsolve.). @inproceedings{HutHooLey10b,
title = {Automated Configuration of Mixed Integer Programming Solvers},
author = {F Hutter and H H Hoos and K Leyton-Brown},
year = {2010},
booktitle = {Proceedings of the Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR)},
pages = {186-202},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Murphy, K P Time-Bounded Sequential Parameter Optimization Inproceedings In: Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 4), 2010, (Runner-up for the best paper award). @inproceedings{HutHooLeyMur10,
title = {Time-Bounded Sequential Parameter Optimization},
author = {F Hutter and H H Hoos and K Leyton-Brown and K P Murphy},
year = {2010},
booktitle = {Proceedings of the conference on Learning and Intelligent OptimizatioN (LION 4)},
keywords = {}
}
|
2009
|
Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin; Stützle, Thomas ParamILS: An Automatic Algorithm Configuration Framework Journal Article In: Journal of Artificial Intelligence Research, vol. 36, pp. 267–306, 2009, (See the ParamILS project page for a lot of
experimental data for this paper (target algorithms, parameters, resulting
parameter configurations).
There's also a quick start guide available to help you apply ParamILS for
tuning your own algorithms.
There's also an older tech report about ParamILS, including additional
material (pdf)
(bib).). @article{HutHooLeyStu09a,
title = {ParamILS: An Automatic Algorithm Configuration Framework},
author = {Frank Hutter and Holger H Hoos and Kevin Leyton-Brown and Thomas Stützle},
year = {2009},
journal = {Journal of Artificial Intelligence Research},
volume = {36},
pages = {267--306},
keywords = {}
}
|
Hutter, F Automated Configuration of Algorithms for Solving Hard Computational Problems PhD Thesis University of British Columbia, Department of Computer Science, 2009, (There are also slides from invited presentation at Canadian AI grad student
symposium.
2010 CAIAC Doctoral Dissertation Award for the best thesis in Artificial
Intelligence at a Canadian University completed in 2009.
See the Automated Algorithm Configuration project page for
a lot of experimental data (target algorithms, parameters, benchmark
instances, and configuration proceduers).). @phdthesis{Hutter09,
title = {Automated Configuration of Algorithms for Solving Hard Computational Problems},
author = {F Hutter},
year = {2009},
address = {Vancouver, Canada},
school = {University of British Columbia, Department of Computer Science},
keywords = {}
}
|
Hutter, F; de Oca, M A Montes (Ed.) SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms Proceeding IRIDIA, Université Libre de Bruxelles, Brussels, Belgium 2009. @proceedings{HutOca09,
title = {SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms},
editor = {F Hutter and M ~A Montes~de~Oca},
year = {2009},
organization = {IRIDIA, Université Libre de Bruxelles, Brussels, Belgium},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Murphy, K P An Experimental Investigation of Model-Based Parameter Optimisation: SPO and Beyond Inproceedings In: Proceedings of the 11th annual conference on Genetic and evolutionary computation (GECCO '09), pp. 271–278, 2009. @inproceedings{HutHooLeyMur09,
title = {An Experimental Investigation of Model-Based Parameter Optimisation: SPO and Beyond},
author = {F Hutter and H H Hoos and K Leyton-Brown and K P Murphy},
year = {2009},
booktitle = {Proceedings of the 11th annual conference on Genetic and evolutionary computation (GECCO '09)},
pages = {271--278},
keywords = {}
}
|
Hutter, F; Hoos, H H; Leyton-Brown, K; Stützle, T ParamILS: An Automatic Algorithm Configuration Framework Technical Report University of British Columbia no. TR-2009-01, 2009. @techreport{HutHooLeyStu09b,
title = {ParamILS: An Automatic Algorithm Configuration Framework},
author = {F Hutter and H H Hoos and K Leyton-Brown and T Stützle},
year = {2009},
number = {TR-2009-01},
institution = {University of British Columbia},
keywords = {}
}
|
Xu, L; Hutter, F; Hoos, H; Leyton-Brown, K SATzilla2009: an Automatic Algorithm Portfolio for SAT Unpublished 2009, (Solver description, SAT competition 2009Solver description for the 2009 SAT competition. SATzilla2009 won 3 gold and 2
silver medals in that competition. See the SATzilla project page for details and
source code.). @unpublished{XuHutHooLey09,
title = {SATzilla2009: an Automatic Algorithm Portfolio for SAT},
author = {L Xu and F Hutter and H Hoos and K Leyton-Brown},
year = {2009},
keywords = {}
}
|
2008
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-Brown, Kevin SATzilla: Portfolio-based Algorithm Selection for SAT Journal Article In: Journal of Artificial Intelligence Research, vol. 32, pp. 565–606, 2008, (2010 IJCAI/JAIR Best Paper Prize for the period 2005-2009.
See the SATzilla project page for details and
source code.). @article{XuHutHooLey08,
title = {SATzilla: Portfolio-based Algorithm Selection for SAT},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-Brown},
year = {2008},
journal = {Journal of Artificial Intelligence Research},
volume = {32},
pages = {565--606},
keywords = {}
}
|
2007
|
Hutter, Frank; Babic, Domagoj; Hoos, Holger H; Hu, Alan J Boosting Verification by Automatic Tuning of Decision Proceedingsdures Inproceedings In: Proceedings of Formal Methods in Computer Aided Design (FMCAD'07), pp. 27–34, IEEE Computer Society, Washington, DC, USA, 2007, (With the tuning discussed in this paper Domagoj's solver Spear won the QF_BV
(Quantifier-Free Bit Vector) category of the 2007 Satisfiability Modulo
Theories Competition.). @inproceedings{HutBabHooHu07,
title = {Boosting Verification by Automatic Tuning of Decision Proceedingsdures},
author = {Frank Hutter and Domagoj Babic and Holger H Hoos and Alan J Hu},
year = {2007},
booktitle = {Proceedings of Formal Methods in Computer Aided Design (FMCAD'07)},
pages = {27--34},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {}
}
|
Hutter, Frank On the Potential of Automatic Algorithm Configuration Inproceedings In: Proceedings of the Doctoral Symposium on Engineering Stochastic Local Search Algorithms (SLS-DS)., 2007, (Best poster award (voted by the attendees of SLS 07).). @inproceedings{Hutter07,
title = {On the Potential of Automatic Algorithm Configuration},
author = {Frank Hutter},
year = {2007},
booktitle = {Proceedings of the Doctoral Symposium on Engineering Stochastic Local Search Algorithms (SLS-DS).},
keywords = {}
}
|
Xu, L; Hutter, F; Hoos, H H; Leyton-Brown, K SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT Inproceedings In: Principles and Practice of Constraint Programming (CP'07), 2007, (SATzilla won 3 gold medals, 1 silver and 1 bronze in the 2007 SAT
competition! It is available for download
from the SATzilla website.). @inproceedings{XuHutHooLey07b,
title = {SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT},
author = {L Xu and F Hutter and H H Hoos and K Leyton-Brown},
year = {2007},
booktitle = {Principles and Practice of Constraint Programming (CP'07)},
keywords = {}
}
|
Hutter, F; Hoos, H; Stützle, T Automatic Algorithm Configuration based on Local Search Inproceedings In: Proceedings of the Twenty-Second Conference on Artifical Intelligence (AAAI '07), pp. 1152–1157, 2007, (The ParamILS algorithm introduced in this paper is available for download from
the ParamILS website. There's also a quick start guide available to help you apply it for
tuning your own algorithms.). @inproceedings{HutHooStu07,
title = {Automatic Algorithm Configuration based on Local Search},
author = {F Hutter and H Hoos and T Stützle},
year = {2007},
booktitle = {Proceedings of the Twenty-Second Conference on Artifical Intelligence (AAAI '07)},
pages = {1152--1157},
keywords = {}
}
|
Tompkins, Dave; Hutter, Frank; H, Holger; Hoos, Scaling and Probabilistic Smoothing (SAPS) Miscellaneous 2007, (SAPS is unchanged from last year, but I got a tenfold speedup by automated
parameter tuning (using the techniques from the AAAI-07 ParamILS paper)). @misc{TomHutHoo07,
title = {Scaling and Probabilistic Smoothing (SAPS)},
author = {Dave Tompkins and Frank Hutter and Holger H and Hoos},
year = {2007},
keywords = {}
}
|
Xu, Lin; Hutter, Frank; Hoos, Holger H; Leyton-brown, Kevin SATzilla2007: a new & improved algorithm portfolio for SAT Miscellaneous 2007, (In a nutshell, SATzilla predicts the runtime of each solver in the portfolio
and picks the most promising one.
SATzilla2007 won 3 gold medals, 1 silver and 1 bronze! See the SAT competition
webpage for details.). @misc{XuHutHooLey07a,
title = {SATzilla2007: a new & improved algorithm portfolio for SAT},
author = {Lin Xu and Frank Hutter and Holger H Hoos and Kevin Leyton-brown},
year = {2007},
keywords = {}
}
|
Babić, D; Hutter, F SPEAR Theorem Prover Miscellaneous 2007, (Solver description, SAT competitionSPEAR is a new tree search algorithm with 25 free parameters. I tuned it
(using the techniques from the AAAI-07 paper on ParamILS), getting a 30%
speedup; for software verification, my parameter settings beat the default by
a factor of 50!). @misc{BabHut07,
title = {SPEAR Theorem Prover},
author = {D Babić and F Hutter},
year = {2007},
keywords = {}
}
|
2006
|
Hutter, F; Hamadi, Y; Hoos, H H; Leyton-Brown, K Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms Inproceedings In: Principles and Practice of Constraint Programming (CP'06), pp. 213–228, 2006, (All our experimental data for this paper, as well as our Matlab code, is
available on the Empirical Hardness Models project
page.). @inproceedings{HutHamHooLey06b,
title = {Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms},
author = {F Hutter and Y Hamadi and H H Hoos and K Leyton-Brown},
year = {2006},
booktitle = {Principles and Practice of Constraint Programming (CP'06)},
pages = {213--228},
keywords = {}
}
|
Hutter, Frank Automated Algorithm Configuration Based on Machine Learning Miscellaneous 2006. @misc{Hutter06,
title = {Automated Algorithm Configuration Based on Machine Learning},
author = {Frank Hutter},
year = {2006},
keywords = {}
}
|
2005
|
Hutter, Frank; Hamadi, Youssef Parameter Adjustment Based on Performance Prediction: Towards an Instance-Aware Problem Solver Technical Report Microsoft Research Cambridge, UK, no. MSR-TR-2005-125, 2005, (Slides from a talk I gave at the Cork Constraint Computation Centre (4C)
Slides from a talk I gave in the Lab for Computational Intelligence at UBC). @techreport{HutHam05,
title = {Parameter Adjustment Based on Performance Prediction: Towards an Instance-Aware Problem Solver},
author = {Frank Hutter and Youssef Hamadi},
year = {2005},
number = {MSR-TR-2005-125},
pages = {58},
address = {Cambridge, UK},
institution = {Microsoft Research},
keywords = {}
}
|
Hutter, Frank; Hoos, Holger H; Stützle, Thomas Efficient Stochastic Local Search for MPE Solving Inproceedings In: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), pp. 169–174, 2005, (My solver GLS+ and the test instances we used are available on our MPE page. The solver can read
general factor graphs, i.e. Bayes nets (in BNT format), MRFs, CRFs, etc.
There's also a nice Matlab interface.). @inproceedings{HutHooStu05,
title = {Efficient Stochastic Local Search for MPE Solving},
author = {Frank Hutter and Holger H Hoos and Thomas Stützle},
year = {2005},
booktitle = {Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05)},
pages = {169--174},
keywords = {}
}
|
2004
|
Hutter, Frank Stochastic Local Search for Solving the Most Probable Explanation Problem in Bayesian Networks Masters Thesis Darmstadt University of Technoloy, 2004, (Supervisor: Thomas Stützle, Cosupervisor: Holger Hoos; My solver GLS+ and most
of the test instances I used are available on our MPE page.). @mastersthesis{Hutter04,
title = {Stochastic Local Search for Solving the Most Probable Explanation Problem in Bayesian Networks},
author = {Frank Hutter},
year = {2004},
school = {Darmstadt University of Technoloy},
keywords = {}
}
|
Hutter, Frank; Ng, Brenda; Dearden, Richard Incremental Thin Junction Trees for Dynamic Bayesian Networks Technical Report Intellectics Group, Darmstadt University of Technology no. TR-AIDA-04-01, 2004. @techreport{HutBreDea04,
title = {Incremental Thin Junction Trees for Dynamic Bayesian Networks},
author = {Frank Hutter and Brenda Ng and Richard Dearden},
year = {2004},
number = {TR-AIDA-04-01},
institution = {Intellectics Group, Darmstadt University of Technology},
keywords = {}
}
|
de Freitas, Nando; Dearden, Richard; Hutter, Frank; Morales-Menendez, Ruben; Mutch, Jim; Poole, David Diagnosis by a Waiter and a Mars Explorer Journal Article In: Proceedings of the IEEE, vol. 92, no. 4, pp. 139-144, 2004, (Check out my GPF webpage
for the particle filtering code used for the rover examples.). @article{FreEtAl04,
title = {Diagnosis by a Waiter and a Mars Explorer},
author = {Nando de Freitas and Richard Dearden and Frank Hutter and Ruben Morales-Menendez and Jim Mutch and David Poole},
year = {2004},
journal = {Proceedings of the IEEE},
volume = {92},
number = {4},
pages = {139-144},
keywords = {}
}
|
Dearden, Richard; Willeke, Thomas; Hutter, Frank; Simmons, Reid; Verma, Vandi; Thrun, Sebastian Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task Inproceedings In: In Proceedings of IEEE Aerospace Conference, 2004, pp. 826–840, IEEE Press, 2004, (Check out my GPF webpage
for the particle filtering code.). @inproceedings{DeaEtAl04,
title = {Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task},
author = {Richard Dearden and Thomas Willeke and Frank Hutter and Reid Simmons and Vandi Verma and Sebastian Thrun},
year = {2004},
booktitle = {In Proceedings of IEEE Aerospace Conference, 2004},
pages = {826--840},
publisher = {IEEE Press},
keywords = {}
}
|
Andronescu, M; Fejes, A P; Hutter, F; Hoos, H H; Condon, A A new algorithm for RNA secondary structure design Journal Article In: Journal of Molecular Biology, vol. 336, no. 3, pp. 607–624, 2004, (Check out the free RNA Designer Software at ). @article{FejEtAl04,
title = {A new algorithm for RNA secondary structure design},
author = {M Andronescu and A P Fejes and F Hutter and H H Hoos and A Condon},
year = {2004},
journal = {Journal of Molecular Biology},
volume = {336},
number = {3},
pages = {607--624},
keywords = {}
}
|
2003
|
Hutter, Frank; Dearden, Richard The Gaussian Particle Filter for Diagnosis of Non-Linear Systems Inproceedings In: Proceedings of the 14th International Conference on Principles of Diagnosis(DX03), pp. 5–70, 2003, (Check out my GPF webpage
for the Gaussian particle filtering code.). @inproceedings{HutDea03a,
title = {The Gaussian Particle Filter for Diagnosis of Non-Linear Systems},
author = {Frank Hutter and Richard Dearden},
year = {2003},
booktitle = {Proceedings of the 14th International Conference on Principles of Diagnosis(DX03)},
pages = {5--70},
keywords = {}
}
|
Hutter, Frank; Dearden, Richard Efficient On-line Fault Diagnosis for Non-Linear Systems Inproceedings In: Seventh International Symposium on Artificial Intelligence and Robotics in Space (i-SAIRAS-03), 2003, (Check out my GPF webpage
for the Gaussian particle filtering code.). @inproceedings{HutDea03b,
title = {Efficient On-line Fault Diagnosis for Non-Linear Systems},
author = {Frank Hutter and Richard Dearden},
year = {2003},
booktitle = {Seventh International Symposium on Artificial Intelligence and Robotics in Space (i-SAIRAS-03)},
keywords = {}
}
|
2002
|
Hutter, F; Tompkins, D A D; Hoos, H H Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT Inproceedings In: Hentenryck, Pascal (Ed.): Principles and Practice of Constraint Programming - CP 2002, pp. 233-248, Springer Berlin Heidelberg, 2002, (Check out the DLS for SAT webpage,
maintained by Dave.). @inproceedings{HutTomHoo02,
title = {Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT},
author = {F Hutter and D A D Tompkins and H H Hoos},
editor = {Pascal Hentenryck},
year = {2002},
booktitle = {Principles and Practice of Constraint Programming - CP 2002},
volume = {2470},
pages = {233-248},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {}
}
|
Andronescu, M; Fejes, A P; Hutter, F; Hoos, H H; Condon, A A New SLS Algorithm for RNA Secondary Structure Design Technical Report Department of Computer Science, University of British Columbia no. TR-2002-10, 2002, (Available as a postscript file.
Check out the free RNA Designer Software at http://www.rnasoft.ca/). @techreport{FejEtAl02,
title = {A New SLS Algorithm for RNA Secondary Structure Design},
author = {M Andronescu and A P Fejes and F Hutter and H H Hoos and A Condon},
year = {2002},
number = {TR-2002-10},
institution = {Department of Computer Science, University of British Columbia},
keywords = {}
}
|