Difference between revisions of "Frank Hutter"

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* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2017'''). ''Simple And Efficient Architecture Search for Convolutional Neural Networks''. [https://arxiv.org/abs/1711.04528 arXiv:1711.04528]
 
* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2017'''). ''Simple And Efficient Architecture Search for Convolutional Neural Networks''. [https://arxiv.org/abs/1711.04528 arXiv:1711.04528]
 
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2017'''). ''Decoupled Weight Decay Regularization''. [https://arxiv.org/abs/1711.05101 arXiv:1711.05101]
 
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2017'''). ''Decoupled Weight Decay Regularization''. [https://arxiv.org/abs/1711.05101 arXiv:1711.05101]
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* [https://dblp.org/pers/hd/c/Chrabaszcz:Patryk Patryk Chrabaszcz], [[Ilya Loshchilov]], [[Frank Hutter]] ('''2018'''). ''Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari''. [https://arxiv.org/abs/1802.08842 arXiv:1802.08842] <ref>[https://www.bbc.com/news/technology-43241936 AI finds novel way to beat classic Q*bert Atari video game], [https://en.wikipedia.org/wiki/BBC_News BBC News], March 01, 2018</ref> <ref>[https://en.wikipedia.org/wiki/Q*bert Q*bert from Wikipedia]</ref>
 
* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2018'''). ''Neural Architecture Search: A Survey''. [https://arxiv.org/abs/1808.05377 arXiv:1808.05377]
 
* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2018'''). ''Neural Architecture Search: A Survey''. [https://arxiv.org/abs/1808.05377 arXiv:1808.05377]
 
* [[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]

Latest revision as of 09:11, 13 September 2019

Home * People * Frank Hutter

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.

Selected Publications

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External Links

References

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