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'''[[Main Page|Home]] * [[People]] * Frank HutterChris J. Thornton'''

[[FILE:ChrisJThornton.jpg|border|right|thumb| Chris Thornton <ref>[http://users.sussex.ac.uk/~christ/ Chris Thornton]</ref> ]]  '''Frank HutterChris James Thornton''',<br/>a German British computer scientist, mathematician and professor lecturer in the Department of Informatics at the [https://en.wikipedia.org/wiki/University_of_Freiburg University_of_Sussex University of FreiburgSussex]., His research covers and formerly a lecturer in the fields department of [[LearningArtificial Intelligence|machine learningartificial intelligence]] at the [[University of Edinburgh]].He holds a BA in [https://en.wikipedia.org/wiki/Economics economics], a M.Sc in computer science and a Ph.D. in artificial intelligence <ref>[[Chris J. Thornton]], [https://scholar.google.com/citations?user=QBJBsuMAAAAJ Benedict Du Boulay] ('''1992'''). ''[https://www.springer.com/gp/book/9780792318682 Artificial Intelligence Through Search]''. [https://en.wikipedia.org/wiki/Automated_machine_learning automated Springer_Science%2BBusiness_Media Springer]</ref>.His research interests around [https://en.wikipedia.org/wiki/Information_theory information theory] and [[Cognition|cognitive science]] include [[Learning|machine learning]], [[Deep LearningNeural Networks|deep learningneural networks]], [https://en.wikipedia.org/wiki/Neural_architecture_search neural architecture searchData_compression data compression], automated [https://en.wikipedia.org/wiki/Problem_solving problem solvingComputational_creativity computational creativity], the [https://en.wikipedia.org/wiki/Stochastic_optimization stochastic optimizationProblem_of_induction problem of induction], [https://en.wikipedia.org/wiki/Stochastic_gradient_descent stochastic gradient descentKolmogorov_complexity Kolmogorov complexity] and , [https://en.wikipedia.org/wiki/Bayesian_optimization Bayesian optimizationGene_prediction sequence prediction]., He defended his M[https://en.Scwikipedia. degree on stochastic org/wiki/Algorithmic_composition algorithmic music], [https://en.wikipedia.org/wiki/Local_search_(optimization) local searchAnalogy analogy formation] at , [[Darmstadt University of Technology]] in 2004 under [[Mathematician#TStuetzle|Thomas Stützle]] and [[Mathematician#HHHoos|Holger Hhttps://en.wikipedia. Hoos]org/wiki/Minimum_description_length minimum description length encoding],and his Ph[https://en.Dwikipedia. on ''Automating the Configuration of Algorithms for Solving Hard Computational Problems'' at org/wiki/Refinement_(computing) information refinement] and [https://en.wikipedia.org/wiki/University_of_British_Columbia Formal_concept_analysis formal concept analysis] <ref>[http://www.sussex.ac.uk/cogs/seminars/previous/spring2011 Spring term 2011 : Previous COGS seminars : ... : Centre for Cognitive Science (COGS) : University of British ColumbiaSussex] in 2009 under Holger H</ref>. HoosOne of his lectures deals with game playing, [[Minimax]], [[Mathematician#LeytonBrown|Kevin Leyton-BrownNegamax]] and [[Mathematician#KPMurphy|Kevin PAlpha-Beta]] <ref>[http://users.sussex.ac.uk/~christ/crs/kr-ist/lec05a. Murphy]html KR-IST - Lecture 5a Game playing with Minimax and Pruning]</ref>.

<ref>[https://dblp.org/perspid/hd06/h/Hutter:Frank 2633.html dblp: Frank HutterChris Thornton]</ref> <ref>, includes [https://mldl.informatikacm.uni-freiburg.deorg/peopleprofile/hutter/publications.html Publications - Frank Hutter99659668015 Chris Thornton]</ref> <ref>, [https://scholaren.googlewikipedia.caorg/citations?user=YUrxwrkAAAAJ&hl=en Frank Hutter - Google Scholar Citationswiki/University_of_British_Columbia University of British Columbia]</ref>==2002 1987 ...==* [[Frank HutterChris J. Thornton]], ('''1987'''). ''Hypercuboid-Formation Behaviour of Two Learning Algorithms''. [[MathematicianConferences#DADTompkinsIJCAI1987|Dave A. D. TompkinsIJCAI 1987]], * [[Mathematician#HHHoos|Holger HChris J. HoosThornton]] ('''20021988'''). ''[https://link.springer.com/chapter/10.1007/3-540-46135Links between Content and Information-3_16 Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT]Content''. [https://dblp.org/db/conf/cpecai/cp2002ecai88.html CP 2002#Thornton88 ECAI 1988], <ref>[https://wwwen.cswikipedia.ubc.caorg/~hooswiki/PublInformation_content Information content from Wikipedia]</cp02-saps.pdf pdf]ref>* [[Frank HutterChris J. Thornton]] ('''20041988'''). ''Stochastic Local Search A Computational Model for Solving the Most Probable Explanation Problem in Bayesian NetworksData Compression Metaphor''. Diploma thesis (M.Sc.), [[Darmstadt University of Technology]], supervisors [[Mathematician#TStuetzle|Thomas Stützle]] and [[Mathematician#HHHoos|Holger H. Hoos]], [https://pdfs.semanticscholardblp.org/bccedb/9a026ff863442cea6d1596bfe06ee02af32fconf/aimsa/aimsa1988.pdf pdfhtml#Thornton88 AIMSA 1988]==2005 1990 ...==* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#TStuetzle|Thomas StützleThornton]] ('''20051990'''). ''[https://dllink.acmspringer.orgcom/chapter/citation10.cfm?id=1642320 Efficient Stochastic Local Search 1007/978-94-009-0643-3_155 The Kink Representation for MPE SolvingExclusive-OR]''. [https://link.springer.com/book/10.1007/978-94-009-0643-3 International Neural Network Conference]* [Conferences#IJCAI2005|IJCAI 2005[Chris J. Thornton]], ('''1992'''). ''Techniques in Computational Learning: An Introduction''. [https://wwwen.cswikipedia.ubc.caorg/~hutterwiki/papers/ijcai05-sls4mpe.pdf pdfChapman_%26_Hall Chapman & Hall]* [[Frank HutterChris J. Thornton]], [https://scholar.google.co.ukcom/citations?user=LqUxHuQAAAAJ&hl=en Youssef HamadiQBJBsuMAAAAJ Benedict Du Boulay], ('''1992'''). ''[https://www.springer.com/gp/book/9780792318682 Artificial Intelligence Through Search]''. [Mathematician#HHHoos|Holger Hhttps://en.wikipedia. Hoosorg/wiki/Springer_Science%2BBusiness_Media Springer]], * [[Mathematician#LeytonBrown|Kevin Leyton-BrownChris J. Thornton]] ('''20061996'''). ''[https://link.springer.com/chapter/10.1007/11889205_17 Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms3-540-61291-2_65 Parity: The Problem that Won't Go Away]''. [https://dblp.org/db/conf/cpai/cp2006ai96.html CP 2006#Thornton96 AI 1996]* [[Chris J. Thornton]], ('''1999'''). ''[https://wwwlink.csspringer.ubccom/article/10.ca1023/~hutterA:1006577209231 What do Constructive Learners Really Learn?]'' [https:/papers/aaaiws06_lfs06-autoparam-prelimwww.springer.pdf pdfcom/journal/10462 Artificial Intelligence Review], Vol. 13==2000 ...==* [[Frank HutterChris J. Thornton]], ('''2000'''). ''[https://www.goodreads.com/book/show/1097454.Truth_from_Trash Truth from Trash: How Learning Makes Sense]''. [Mathematician#HHHoos|Holger Hhttps://en.wikipedia. Hoosorg/wiki/MIT_Press Bradford Books]], <ref>[[Mathematician#TStuetzle|Thomas StützleJean Hayes Michie]] ('''20072001'''). ''[https://dlwww.acmaaai.org/citationojs/index.cfm?id=1619831 Automatic Algorithm Configuration Based on Local Searchphp/aimagazine/article/view/1599/0 Machine Learning and Light Relief: A Review of Truth from Trash]''. [[ConferencesAAAI#AAAI-2007AIMAG|AAAI 2007AI Magazine]], Vol. 22 No. 4, [httpshttp://www.csaaai.ubcorg/ojs/index.caphp/~hutteraimagazine/papersarticle/aaai07_param_ils.pdf download/1599/1498 pdf]</ref>* [[Frank HutterChris J. Thornton]] ('''20092003'''). ''Automating the Configuration of Algorithms for Solving Hard Computational Problems[https://content.iospress.com/articles/intelligent-data-analysis/ida00129 Indirect sensing through abstractive learning]''. Ph[https://dblp.org/db/journals/ida/ida7.Dhtml#Thornton03 Intelligent Data Analysis], Vol. thesis7, No. 3* [[Chris J. Thornton]] ('''2006'''). ''[http://sro.sussex.ac.uk/id/eprint/27780/ Principled Exploitation of Behavioural Coupling]''. [https://en.wikipedia.org/wiki/University_of_British_Columbia University Journal_of_Experimental_and_Theoretical_Artificial_Intelligence Journal of British ColumbiaExperimental and Theoretical Artificial Intelligence], supervisors Vol. 18, No. 3* [[Mathematician#HHHoos|Holger HChris J. HoosThornton]], [[Mathematician#LeytonBrown|Kevin Leyton('''2009'''). ''Self-Brown]] and redundancy in Music''. [[Mathematicianhttps://dblp.org/db/conf/dagstuhl/P9291.html#KPMurphy|Kevin P. Murphy]Thornton09 Dagstuhl Seminar Proceedings: Computational Creativity], [https://wwwcore.csac.ubc.cauk/~hutterreader/papers/Hutter09PhD.pdf 62914630 pdf]* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-Brown]], [[Mathematician#TStuetzle|Thomas StützleThornton]] ('''2009'''). ''[https://wwwpubmed.ncbi.jairnlm.org/indexnih.php/jair/articlegov/view21585510/10628 ParamILS: An Automatic Algorithm Configuration FrameworkRepresentation Recovers Information]''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research JAIRCognitive_Science_(journal) Cognitive Science], Vol. 3633, [https://arxivNo.org/ftp/arxiv/papers/1401/1401.3492.pdf pdf]8

* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-Brown]], [[Mathematician#KPMurphy|Kevin P. MurphyThornton]] ('''20102011'''). ''[https://dl.acm.org/citation.cfm?id=1893694 Time-Bounded Sequential Parameter Optimization]Naive Inference viewed as Computation''. [https://dblp.org/db/conf/lioncogsci/lion2010cogsci2011.html LION 2010#Thornton11 CogSci 2011], [httpshttp://mlciteseerx.informatikist.uni-freiburgpsu.deedu/papersviewdoc/summary?doi=10-LION-TB-SPO.pdf pdf1.1.368.2558 citeseerx]* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-BrownThornton]] ('''20102011'''). ''[https://link.springer.com/article/10.1007/s10472-010-9191-0 Tradeoffs in the empirical evaluation of competing algorithm designs]Is there any Need to Mention Induction?''. [https://linkdblp.springer.comorg/journaldb/10472conf/60cogsci/1 Annals of Mathematics and Artificial Intelligence, Volcogsci2011. 60, Nos. 1-2html#Thornton11a CogSci 2011], [httpshttp://wwwusers.cssussex.ubcac.cauk/~hooschrist/Publtalks/HutEtAl10dmention-preprintinduction.pdf slides as pdf]* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-BrownThornton]] ('''20112012'''). ''[https://linkwww.springersemanticscholar.comorg/chapterpaper/10.1007/978Fuzzy-Memory-Theory-and-3its-642Use-25566in-3_40 Sequential ModelCognitive-Based Optimization for General Algorithm ConfigurationThorton/0bd93238e0229bf633296d755ad51e06671f4346 Fuzzy Memory Theory and its Use in Cognitive Science]''. [https://dblp.org/db/conf/lioncogsci/lion2011cogsci2012.html LION 2011], [https://ml.informatik.uni-freiburg.de/papers/11-LION5-SMAC.pdf pdf#Thornton12 CogSci 2012]* [https://dl[Chris J.acm.org/profile/99659668015 Chris Thornton], [[Frank Hutter]], [[Mathematician#HHHoos|Holger H. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-Brown]] ('''20122013'''). ''Auto-WEKA: Combined Selection and Hyperparameter Optimization A New Way of Classification AlgorithmsLinking Information Theory with Cognitive Science''. [https://arxivdblp.org/abs/1208.3719 arXiv:1208.3719] <ref>[https://dblp.uni-trier.de/pers/hd/h/Hall:Mark_A= Mark A. Hall], [https://dblp.uni-trier.de/pers/hd/f/Frank:Eibe Eibe Frank], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [https://dblp.uni-trier.de/pers/hd/r/Reutemann:Peter Peter Reutemann], [[Ian H. Witten]] ('''2009'''). ''The WEKA data mining software: an update''. [https://dblp.uni-trier.de/db/journalsconf/sigkddcogsci/sigkdd11cogsci2013.html SIGKDD Explorations#Thornton13a CogSci 2013], Vol. 11, No. 1, [httpshttp://wwwciteseerx.kddist.org/exploration_files/p2V11n1psu.pdf pdf]</ref> <ref>[https:edu/viewdoc/en.wikipedia.org/wiki/Weka_(machine_learning) Weka (machine learning) from Wikipedia]</ref>* [[Frank Hutter]], [https://scholar.google.ca/citationssummary?userdoi=lTcTyjUAAAAJ&hl=en Lin Xu], [[Mathematician#HHHoos|Holger H10. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-Brown]] ('''2012''')1. ''Algorithm Runtime Prediction: Methods & Evaluation''1. [https://arxiv432.org/abs/1211.0906 arXiv:1211.09068733 citeseerx]* [[Frank Hutter]], [[Mathematician#HHHoos|Holger HChris J. Hoos]], [[Mathematician#LeytonBrown|Kevin Leyton-Brown]] ('''2013'''). ''Bayesian Optimization With Censored Response Data''. [https://arxiv.org/abs/1310.1947 arXiv:1310.1947]* [[Mathematician#LeytonBrown|Kevin Leyton-Brown]], [[Mathematician#HHHoos|Holger H. Hoos]], [[Frank HutterThornton]], [https://scholar.google.ca/citations?user=lTcTyjUAAAAJ&hl=en Lin Xu] ('''2014'''). ''[https://dl.acm.org/citation.cfm?id=2594424 Understanding Infotropism as the empirical hardness underlying principle of NP-complete problems]perceptual organization''. [[ACM#Communications|Communications of the ACM]], Vol. 57, No. 5, [http://aadusers.informatiksussex.uni-freiburgac.deuk/media~christ/_publicationspapers/14-CACM-EHMsunderlying-preprintinfotropism.pdf pdf]==2015 ...==* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2015''')Chris J. ''Online Batch Selection for Faster Training of Neural Networks''. [https://arxiv.org/abs/1511.06343 arXiv:1511.06343]* [[Ilya Loshchilov]], [[Frank HutterThornton]] ('''2016'''). ''CMA-ES for Hyperparameter Optimization Predictive processing is Turing complete: A new view of Deep Neural Networkscomputation in the brain''. [httpshttp://arxivusers.org/abs/1604sussex.07269 arXiv:1604ac.07269] <ref>[https:uk/~christ/en.wikipedia.org/wikidrafts/CMAdraft-ES CMA-ES from Wikipedia]</ref>* [[Ilya Loshchilov]o.pdf pdf], [[Frank Hutter]] ('''2016'''). ''SGDR: Stochastic Gradient Descent with Warm Restarts''. [httpshttp://arxivusers.org/abs/1608.03983 arXiv:1608.03983]* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2017''')sussex. ''Simple And Efficient Architecture Search for Convolutional Neural Networks''ac. [https:uk/~christ/arxiv.orgdemos/abs/1711.04528 arXiv:1711PP-TMs.04528mp4 mp4]* [[Ilya Loshchilov]], [[Frank HutterChris J. Thornton]] ('''2017'''). ''Decoupled Weight Decay RegularizationPredictive processing simplified: The infotropic machine''. [https://arxiven.wikipedia.org/abswiki/1711.05101 arXiv:1711.05101]* [[Jan van Rijn]Brain_and_Cognition Brain and Cognition], [[Frank Hutter]] ('''2017'''). ''An Empirical Study of Hyperparameter Importance Across Datasets''. [https://dblpVol.uni-trier.de/db/conf/pkdd/automl2017.html#RijnH17 AutoML@PKDD/ECML 2017]112, [http://mlusers.informatiksussex.uni-freiburgac.deuk/~christ/papers/17pred-AutoMLproc-fanovasimplified.pdf pdf]* , [httpshttp://dblpusers.org/pers/hd/c/Chrabaszcz:Patryk Patryk Chrabaszcz], [[Ilya Loshchilov]], [[Frank Hutter]] ('''2018''')sussex. ''Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari''ac. [https:uk/~christ/arxiv.org/absdemos/1802.08842 arXiv:1802bpp.08842mp4 mp4] <ref>[https://www==2020 .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 HutterChris J. Thornton]] ('''20182021'''). ''Neural Architecture Search: A Survey''. [https://arxiveuropepmc.org/absarticle/1808.05377 arXiv:1808.05377MED/34056760 Extensional Superposition and Its Relation to Compositionality in Language and Thought]* [[Marius Lindauer]], [[Frank Hutter]] ('''2019'''). ''Best Practices for Scientific Research on Neural Architecture Search''. [https://arxiven.org/abs/1909.02453 arXiv:1909.02453]* [https://dblpwikipedia.org/pers/hd/f/Fuks:Lior Lior Fuks], [https://dblp.org/perswiki/hd/a/Awad:Noor Noor Awad], [[Frank Hutter]], [[Marius Lindauer]] Cognitive_Science_('''2019'''journal). ''An Evolution Strategy with Progressive Episode Lengths for Playing Games''. [[Conferences#IJCAI2019|IJCAI 2019]Cognitive Science], [https://ml.informatik.uni-freiburg.de/papers/19-IJCAI_PELVol.pdf pdf]* [[Frank Hutter]]45, [https://dblp.org/pers/hd/k/Kotthoff:Lars Lars Kotthoff], [https://dblpNo.org/pers/hd/v/Vanschoren:Joaquin Joaquin Vanschoren] (eds.) ('''2019'''). ''[https://link.springer.com/book/10.1007%2F978-3-030-05318-5 Automated Machine Learning]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]

* [httphttps://aadprofiles.informatiksussex.uni-freiburgac.deuk/people/hutter/index.html Frank Hutterp2684-chris-thornton Chris Thornton Profile | University of Sussex]* [httpshttp://wwwusers.brainlinks-braintoolssussex.uni-freiburgac.deuk/de/ueber-uns~christ/wissenschaftler/profil-hutter/ Frank Hutter - Learning Optimization Automated Algorithm DesignChris Thornton]* [httpshttp://githubusers.sussex.comac.uk/frank-hutter frank-hutter (Frank) · GitHub]* [https:~christ/crs/genealogy.math.ndsu.nodak.eduml/idlec01a.php?id=139131 Frank Hutter html Machine Learning - The Mathematics Genealogy ProjectLecture 1: Introduction to the Topic]* [httpshttp://wwwusers.cssussex.ubcac.cauk/~hutterchrist/ Frank Hutter: Home] crs/kr-ist/ Intelligent Systems Techniques (MSc) and Knowledge and Reasoning (old UBC pageUG)]* [[Frank Hutter]] - [httpshttp://wwwusers.sussex.youtubeac.comuk/watch?v=OR-IKyP4ZpI Automatic Machine Learning] <ref>[https:~christ/crs/www.automl.org/ AutoML Freiburgkr-Hannover]<ist/ref>, [https://nipslec05a.cc/Conferences/2017 NIPS 2017], [https://en.wikipedia.org/wiki/YouTube YouTubehtml KR-IST - Lecture 5a Game playing with Minimax and Pruning] Video: {{#evu:https://www.youtube.com/watch?v=OR-IKyP4ZpI|alignment=left|valignment=top}}

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