{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:22:16Z","timestamp":1778347336025,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2013,8,11]],"date-time":"2013-08-11T00:00:00Z","timestamp":1376179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2013,8,11]]},"DOI":"10.1145\/2487575.2487629","type":"proceedings-article","created":{"date-parts":[[2013,8,13]],"date-time":"2013-08-13T12:31:21Z","timestamp":1376397081000},"page":"847-855","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":965,"title":["Auto-WEKA"],"prefix":"10.1145","author":[{"given":"Chris","family":"Thornton","sequence":"first","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}]},{"given":"Frank","family":"Hutter","sequence":"additional","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}]},{"given":"Holger H.","family":"Hoos","sequence":"additional","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}]},{"given":"Kevin","family":"Leyton-Brown","sequence":"additional","affiliation":[{"name":"University of British Columbia, Vancouver, BC, Canada"}]}],"member":"320","published-online":{"date-parts":[[2013,8,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.10.023"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. of ICML-13","author":"Bardenet R.","year":"2013","unstructured":"R. Bardenet , M. Brendel , B. K\u00e9gl , and M. Sebag . Collaborative hyperparameter tuning . In Proc. of ICML-13 , 2013 . R. Bardenet, M. Brendel, B. K\u00e9gl, and M. Sebag. Collaborative hyperparameter tuning. In Proc. of ICML-13, 2013."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015187"},{"key":"e_1_3_2_1_4_1","volume-title":"Proc. of NIPS-11","author":"Bergstra J.","year":"2011","unstructured":"J. Bergstra , R. Bardenet , Y. Bengio , and B. K\u00e9gl . Algorithms for Hyper-Parameter Optimization . In Proc. of NIPS-11 , 2011 . J. Bergstra, R. Bardenet, Y. Bengio, and B. K\u00e9gl. Algorithms for Hyper-Parameter Optimization. In Proc. of NIPS-11, 2011."},{"key":"e_1_3_2_1_5_1","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"Bergstra J.","year":"2012","unstructured":"J. Bergstra and Y. Bengio . Random search for hyper-parameter optimization . JMLR , 13 : 281 -- 305 , 2012 . J. Bergstra and Y. Bengio. Random search for hyper-parameter optimization. JMLR, 13:281--305, 2012.","journal-title":"JMLR"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/938979.939206"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02294361"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021713901879"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013943418833"},{"key":"e_1_3_2_1_11_1","volume-title":"Proc. of ICML-12","author":"Desautels T.","year":"2012","unstructured":"T. Desautels , A. Krause , and J. Burdick . Parallelizing exploration-exploitation tradeoffs with gaussian process bandit optimization . In Proc. of ICML-12 , 2012 . T. Desautels, A. Krause, and J. Burdick. Parallelizing exploration-exploitation tradeoffs with gaussian process bandit optimization. In Proc. of ICML-12, 2012."},{"key":"e_1_3_2_1_12_1","volume-title":"UCI machine learning repository","author":"Frank A.","year":"2010","unstructured":"A. Frank and A. Asuncion . UCI machine learning repository , 2010 . URL: http:\/\/archive.ics.uci.edu\/ml. University of California , Irvine, School of Information and Computer Sciences. A. Frank and A. Asuncion. UCI machine learning repository, 2010. URL: http:\/\/archive.ics.uci.edu\/ml. University of California, Irvine, School of Information and Computer Sciences."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.04.027"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/1734953.1734959"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2961491.2961497"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"e_1_3_2_1_19_1","first-page":"1137","volume-title":"Proc. of IJCAI-95","author":"Kohavi R.","year":"1995","unstructured":"R. Kohavi . A study of cross-validation and bootstrap for accuracy estimation and model selection . In Proc. of IJCAI-95 , pages 1137 -- 1145 , 1995 . R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proc. of IJCAI-95, pages 1137--1145, 1995."},{"key":"e_1_3_2_1_20_1","volume-title":"Department of Computer Science","author":"Krizhevsky A.","year":"2009","unstructured":"A. Krizhevsky and G. Hinton . Learning multiple layers of features from tiny images. Master's thesis , Department of Computer Science , University of Toronto , 2009 . A. Krizhevsky and G. Hinton. Learning multiple layers of features from tiny images. Master's thesis, Department of Computer Science, University of Toronto, 2009."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31537-4_10"},{"key":"e_1_3_2_1_23_1","first-page":"59","volume-title":"Proc. of NIPS-94","author":"Maron O.","year":"1994","unstructured":"O. Maron and A. Moore . Hoeffding races: Accelerating model selection search for classification and function approximation . In Proc. of NIPS-94 , pages 59 -- 66 , 1994 . O. Maron and A. Moore. Hoeffding races: Accelerating model selection search for classification and function approximation. In Proc. of NIPS-94, pages 59--66, 1994."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1142\/3573"},{"key":"e_1_3_2_1_25_1","first-page":"743","volume-title":"Proc. of ICML-00","author":"Pfahringer B.","year":"2000","unstructured":"B. Pfahringer , H. Bensusan , and C. Giraud-Carrier . Meta-learning by landmarking various learning algorithms . In Proc. of ICML-00 , pages 743 -- 750 , 2000 . B. Pfahringer, H. Bensusan, and C. Giraud-Carrier. Meta-learning by landmarking various learning algorithms. In Proc. of ICML-00, pages 743--750, 2000."},{"key":"e_1_3_2_1_26_1","volume-title":"JMLR","author":"Schaul T.","year":"2010","unstructured":"T. Schaul , J. Bayer , D. Wierstra , Y. Sun , M. Felder , F. Sehnke , T. R\u00fcckstie\u00df , and J. Schmidhuber . PyBrain . JMLR , 2010 . T. Schaul, J. Bayer, D. Wierstra, Y. Sun, M. Felder, F. Sehnke, T. R\u00fcckstie\u00df, and J. Schmidhuber. PyBrain. JMLR, 2010."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1214\/lnms\/1215456182"},{"key":"e_1_3_2_1_28_1","volume-title":"NIPS Workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits","author":"Snoek J.","year":"2011","unstructured":"J. Snoek , H. Larochelle , and R. Adams . Opportunity cost in Bayesian optimization . In NIPS Workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits , 2011 . Published online. J. Snoek, H. Larochelle, and R. Adams. Opportunity cost in Bayesian optimization. In NIPS Workshop on Bayesian Optimization, Sequential Experimental Design, and Bandits, 2011. Published online."},{"key":"e_1_3_2_1_29_1","volume-title":"Proc. of NIPS-12","author":"Snoek J.","year":"2012","unstructured":"J. Snoek , H. Larochelle , and R. P. Adams . Practical bayesian optimization of machine learning algorithms . In Proc. of NIPS-12 , 2012 . J. Snoek, H. Larochelle, and R. P. Adams. Practical bayesian optimization of machine learning algorithms. In Proc. of NIPS-12, 2012."},{"key":"e_1_3_2_1_30_1","first-page":"1015","volume-title":"Proc. of ICML-10","author":"Srinivas N.","year":"2010","unstructured":"N. Srinivas , A. Krause , S. Kakade , and M. Seeger . Gaussian process optimization in the bandit setting: No regret and experimental design . In Proc. of ICML-10 , pages 1015 -- 1022 , 2010 . N. Srinivas, A. Krause, S. Kakade, and M. Seeger. Gaussian process optimization in the bandit setting: No regret and experimental design. In Proc. of ICML-10, pages 1015--1022, 2010."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2010.03.021"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019956318069"},{"key":"e_1_3_2_1_33_1","first-page":"210","volume-title":"Proc. of AAAI-10","author":"Xu L.","year":"2010","unstructured":"L. Xu , H. H. Hoos , and K. Leyton-Brown . Hydra: Automatically configuring algorithms for portfolio-based selection . In Proc. of AAAI-10 , pages 210 -- 216 , 2010 . L. Xu, H. H. Hoos, and K. Leyton-Brown. Hydra: Automatically configuring algorithms for portfolio-based selection. In Proc. of AAAI-10, pages 210--216, 2010."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248637"}],"event":{"name":"KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Chicago Illinois USA","acronym":"KDD' 13","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2487575.2487629","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2487575.2487629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:35:56Z","timestamp":1750235756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2487575.2487629"}},"subtitle":["combined selection and hyperparameter optimization of classification algorithms"],"short-title":[],"issued":{"date-parts":[[2013,8,11]]},"references-count":32,"alternative-id":["10.1145\/2487575.2487629","10.1145\/2487575"],"URL":"https:\/\/doi.org\/10.1145\/2487575.2487629","relation":{},"subject":[],"published":{"date-parts":[[2013,8,11]]},"assertion":[{"value":"2013-08-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}