{"id":"https://openalex.org/W4225771030","doi":"https://doi.org/10.1109/ccis53392.2021.9754655","title":"CoBABO: A Hyperparameter Search Method with Cost Budget Awareness","display_name":"CoBABO: A Hyperparameter Search Method with Cost Budget Awareness","publication_year":2021,"publication_date":"2021-11-07","ids":{"openalex":"https://openalex.org/W4225771030","doi":"https://doi.org/10.1109/ccis53392.2021.9754655"},"language":"en","primary_location":{"id":"doi:10.1109/ccis53392.2021.9754655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103509546","display_name":"Wenyuan Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyuan Qian","raw_affiliation_strings":["Fudan University,Shanghai,China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059000467","display_name":"Zhenying He","orcid":"https://orcid.org/0000-0002-2926-4814"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenying He","raw_affiliation_strings":["Fudan University,Shanghai,China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721239","display_name":"Linwei Li","orcid":"https://orcid.org/0000-0002-8406-8322"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linwei Li","raw_affiliation_strings":["Fudan University,Shanghai,China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320553","display_name":"Xiaoqing Liu","orcid":"https://orcid.org/0000-0003-4256-4771"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Liu","raw_affiliation_strings":["Fudan University,Shanghai,China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101697250","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0003-3835-6929"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Zhejiang Lab Research Center,Hangzhou,China","Zhejiang Lab Research Center, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab Research Center,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab Research Center, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103509546"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58307993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"408","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.9158272743225098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315053343772888},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6403341293334961},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5204996466636658},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48507967591285706},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.4692497253417969},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4454543888568878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4317493736743927},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42471209168434143},{"id":"https://openalex.org/keywords/activity-based-costing","display_name":"Activity-based costing","score":0.41827499866485596},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.4125932455062866},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36288851499557495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3284667730331421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14814502000808716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11693671345710754},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11001706123352051},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09545698761940002}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9158272743225098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315053343772888},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6403341293334961},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5204996466636658},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48507967591285706},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.4692497253417969},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4454543888568878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4317493736743927},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42471209168434143},{"id":"https://openalex.org/C164624739","wikidata":"https://www.wikidata.org/wiki/Q754331","display_name":"Activity-based costing","level":2,"score":0.41827499866485596},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.4125932455062866},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36288851499557495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3284667730331421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14814502000808716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11693671345710754},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11001706123352051},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09545698761940002},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis53392.2021.9754655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W164706946","https://openalex.org/W1510052597","https://openalex.org/W2067042811","https://openalex.org/W2099201756","https://openalex.org/W2107306964","https://openalex.org/W2131241448","https://openalex.org/W2134477639","https://openalex.org/W2140404878","https://openalex.org/W2167789032","https://openalex.org/W2406808360","https://openalex.org/W2950141829","https://openalex.org/W2963474950","https://openalex.org/W2966489076","https://openalex.org/W2970409664","https://openalex.org/W3013491333","https://openalex.org/W4289761856","https://openalex.org/W6606684576","https://openalex.org/W6675200109","https://openalex.org/W6678911119","https://openalex.org/W6680220816","https://openalex.org/W6680531176","https://openalex.org/W6713783767","https://openalex.org/W6753146606","https://openalex.org/W6766847975","https://openalex.org/W6775622751"],"related_works":["https://openalex.org/W3169687406","https://openalex.org/W3206613651","https://openalex.org/W4286902601","https://openalex.org/W2200000192","https://openalex.org/W2395916875","https://openalex.org/W2405673391","https://openalex.org/W3103707007","https://openalex.org/W2906178137","https://openalex.org/W2963001956","https://openalex.org/W2782093256"],"abstract_inverted_index":{"In":[0],"AutoML,":[1],"Bayesian":[2],"optimization":[3],"(BO)":[4],"is":[5,28,52],"commonly":[6],"used":[7],"to":[8,53,84],"automatically":[9],"search":[10],"for":[11],"the":[12,43,55,76,89,108,115,140],"hyperparameters":[13,86,109],"that":[14,110,129],"yield":[15,111],"optimal":[16],"model":[17,26,60],"performance.":[18],"Since":[19],"an":[20],"essential":[21],"step":[22],"in":[23,32,42],"BO,":[24],"namely":[25],"evaluation,":[27],"usually":[29],"very":[30],"costly":[31],"terms":[33],"of":[34,48,59,64],"computation":[35],"time,":[36],"some":[37],"cost-aware":[38,50,142],"BO":[39,101],"methods":[40,51,143],"appeared":[41],"literature.":[44],"The":[45],"basic":[46],"idea":[47],"these":[49,70],"maximize":[54],"expected":[56],"improvement":[57],"(EI)":[58],"performance":[61],"per":[62],"unit":[63],"cost":[65,77,98,117],"at":[66],"each":[67],"step.":[68],"However,":[69],"works":[71],"either":[72],"do":[73],"not":[74],"consider":[75],"budget":[78,91,99,118,138],"or":[79],"still":[80],"give":[81],"more":[82,105],"opportunities":[83],"low-cost":[85],"even":[87],"when":[88,114],"remaining":[90,116],"runs":[92],"low.":[93],"This":[94],"paper":[95],"introduces":[96],"a":[97],"aware":[100],"(CoBABO),":[102],"which":[103],"goes":[104],"aggressively":[106],"after":[107],"higher":[112],"EI":[113],"becomes":[119],"smaller.":[120],"Experimental":[121],"results":[122],"on":[123],"different":[124],"machine":[125],"learning":[126],"models":[127,136],"show":[128],"CoBABO":[130],"often":[131],"finds":[132],"significantly":[133],"better":[134],"performing":[135],"within":[137],"than":[139],"aforementioned":[141],"do.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
