Difference between revisions of "Frank Hutter"
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'''Frank Hutter''',<br/> | '''Frank Hutter''',<br/> | ||
a German computer scientist, mathematician and professor at [https://en.wikipedia.org/wiki/University_of_Freiburg University of Freiburg]. | a German computer scientist, mathematician and professor at [https://en.wikipedia.org/wiki/University_of_Freiburg University of Freiburg]. | ||
| − | His research covers the fields of [[Learning|machine learning]], [[Deep Learning|deep learning]], automated [https://en.wikipedia.org/wiki/Problem_solving problem solving], [https://en.wikipedia.org/wiki/Stochastic_optimization stochastic optimization], [https://en.wikipedia.org/wiki/Stochastic_gradient_descent stochastic gradient descent] and [https://en.wikipedia.org/wiki/Bayesian_optimization Bayesian optimization]. | + | His research covers the fields of [[Learning|machine learning]], [https://en.wikipedia.org/wiki/Automated_machine_learning automated machine learning], [[Deep Learning|deep learning]], [https://en.wikipedia.org/wiki/Neural_architecture_search neural architecture search], automated [https://en.wikipedia.org/wiki/Problem_solving problem solving], [https://en.wikipedia.org/wiki/Stochastic_optimization stochastic optimization], [https://en.wikipedia.org/wiki/Stochastic_gradient_descent stochastic gradient descent] and [https://en.wikipedia.org/wiki/Bayesian_optimization Bayesian optimization]. |
He defended his M.Sc. degree on stochastic [https://en.wikipedia.org/wiki/Local_search_(optimization) local search] at [[Darmstadt University of Technology]] in 2004 under [[Mathematician#TStuetzle|Thomas Stützle]] and [[Mathematician#HHHoos|Holger H. Hoos]], | He defended his M.Sc. degree on stochastic [https://en.wikipedia.org/wiki/Local_search_(optimization) local search] at [[Darmstadt University of Technology]] in 2004 under [[Mathematician#TStuetzle|Thomas Stützle]] and [[Mathematician#HHHoos|Holger H. Hoos]], | ||
and his Ph.D. on ''Automating the Configuration of Algorithms for Solving Hard Computational Problems'' at [https://en.wikipedia.org/wiki/University_of_British_Columbia University of British Columbia] in 2009 under Holger H. Hoos, [[Mathematician#LeytonBrown|Kevin Leyton-Brown]] and [[Mathematician#KPMurphy|Kevin P. Murphy]]. | and his Ph.D. on ''Automating the Configuration of Algorithms for Solving Hard Computational Problems'' at [https://en.wikipedia.org/wiki/University_of_British_Columbia University of British Columbia] in 2009 under Holger H. Hoos, [[Mathematician#LeytonBrown|Kevin Leyton-Brown]] and [[Mathematician#KPMurphy|Kevin P. Murphy]]. | ||
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* [[Marius Lindauer]], [[Frank Hutter]] ('''2019'''). ''Best Practices for Scientific Research on Neural Architecture Search''. [https://arxiv.org/abs/1909.02453 arXiv:1909.02453] | * [[Marius Lindauer]], [[Frank Hutter]] ('''2019'''). ''Best Practices for Scientific Research on Neural Architecture Search''. [https://arxiv.org/abs/1909.02453 arXiv:1909.02453] | ||
* [https://dblp.org/pers/hd/f/Fuks:Lior Lior Fuks], [https://dblp.org/pers/hd/a/Awad:Noor Noor Awad], [[Frank Hutter]], [[Marius Lindauer]] ('''2019'''). ''An Evolution Strategy with Progressive Episode Lengths for Playing Games''. [[Conferences#IJCAI2019|IJCAI 2019]], [https://ml.informatik.uni-freiburg.de/papers/19-IJCAI_PEL.pdf pdf] | * [https://dblp.org/pers/hd/f/Fuks:Lior Lior Fuks], [https://dblp.org/pers/hd/a/Awad:Noor Noor Awad], [[Frank Hutter]], [[Marius Lindauer]] ('''2019'''). ''An Evolution Strategy with Progressive Episode Lengths for Playing Games''. [[Conferences#IJCAI2019|IJCAI 2019]], [https://ml.informatik.uni-freiburg.de/papers/19-IJCAI_PEL.pdf pdf] | ||
| + | * [[Frank Hutter]], [https://dblp.org/pers/hd/k/Kotthoff:Lars Lars Kotthoff], [https://dblp.org/pers/hd/v/Vanschoren:Joaquin Joaquin Vanschoren] (eds.) ('''2019'''). ''[https://www.springer.com/de/book/9783030053178 Automated Machine Learning]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer] | ||
=External Links= | =External Links= | ||
Revision as of 22:22, 11 September 2019
Frank Hutter [1]
Frank Hutter,
a German computer scientist, mathematician and professor at University of Freiburg.
His research covers the fields of machine learning, automated machine learning, deep learning, neural architecture search, automated problem solving, stochastic optimization, stochastic gradient descent and Bayesian optimization.
He defended his M.Sc. degree on stochastic local search at Darmstadt University of Technology in 2004 under Thomas Stützle and Holger H. Hoos,
and his Ph.D. on Automating the Configuration of Algorithms for Solving Hard Computational Problems at University of British Columbia in 2009 under Holger H. Hoos, Kevin Leyton-Brown and Kevin P. Murphy.
Contents
Selected Publications
2002 ...
- Frank Hutter, Dave A. D. Tompkins, Holger H. Hoos (2002). Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT. CP 2002, pdf
- Frank Hutter (2004). Stochastic Local Search for Solving the Most Probable Explanation Problem in Bayesian Networks. Diploma thesis (M.Sc.), Darmstadt University of Technology, supervisors Thomas Stützle and Holger H. Hoos, pdf
2005 ...
- Frank Hutter, Holger H. Hoos, Thomas Stützle (2005). Efficient Stochastic Local Search for MPE Solving. IJCAI 2005, pdf
- Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown (2006). Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. CP 2006, pdf
- Frank Hutter, Holger H. Hoos, Thomas Stützle (2007). Automatic Algorithm Configuration Based on Local Search. AAAI 2007, pdf
- Frank Hutter (2009). Automating the Configuration of Algorithms for Solving Hard Computational Problems. Ph.D. thesis, University of British Columbia, supervisors Holger H. Hoos, Kevin Leyton-Brown and Kevin P. Murphy, pdf
2010 ...
- Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy (2010). Time-Bounded Sequential Parameter Optimization. LION 2010, pdf
- Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown (2010). Tradeoffs in the empirical evaluation of competing algorithm designs. Annals of Mathematics and Artificial Intelligence, Vol. 60, Nos. 1-2, pdf
- Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown (2011). Sequential Model-Based Optimization for General Algorithm Configuration. LION 2011, pdf
- Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown (2012). Algorithm Runtime Prediction: Methods & Evaluation. arXiv:1211.0906
- Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown (2013). Bayesian Optimization With Censored Response Data. arXiv:1310.1947
- Kevin Leyton-Brown, Holger H. Hoos, Frank Hutter, Lin Xu (2014). Understanding the empirical hardness of NP-complete problems. Communications of the ACM, Vol. 57, No. 5, pdf
2015 ...
- Ilya Loshchilov, Frank Hutter (2015). Online Batch Selection for Faster Training of Neural Networks. arXiv:1511.06343
- Ilya Loshchilov, Frank Hutter (2016). SGDR: Stochastic Gradient Descent with Warm Restarts. arXiv:1608.03983
- Thomas Elsken, Jan Hendrik Metzen, Frank Hutter (2017). Simple And Efficient Architecture Search for Convolutional Neural Networks. arXiv:1711.04528
- Ilya Loshchilov, Frank Hutter (2017). Decoupled Weight Decay Regularization. arXiv:1711.05101
- Thomas Elsken, Jan Hendrik Metzen, Frank Hutter (2018). Neural Architecture Search: A Survey. arXiv:1808.05377
- Marius Lindauer, Frank Hutter (2019). Best Practices for Scientific Research on Neural Architecture Search. arXiv:1909.02453
- Lior Fuks, Noor Awad, Frank Hutter, Marius Lindauer (2019). An Evolution Strategy with Progressive Episode Lengths for Playing Games. IJCAI 2019, pdf
- Frank Hutter, Lars Kotthoff, Joaquin Vanschoren (eds.) (2019). Automated Machine Learning. Springer
External Links
- Frank Hutter
- Frank Hutter - Learning Optimization Automated Algorithm Design
- Frank Hutter - The Mathematics Genealogy Project
