{"id":"https://openalex.org/W2903933688","doi":"https://doi.org/10.1609/aaai.v33i01.33013846","title":"Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion","display_name":"Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2903933688","doi":"https://doi.org/10.1609/aaai.v33i01.33013846","mag":"2903933688"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33013846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013846","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4272/4150","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4272/4150","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101594317","display_name":"Yi-Qi Hu","orcid":"https://orcid.org/0000-0002-7689-291X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Qi Hu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342263","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-1732-9545"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032604295","display_name":"Wei-Wei Tu","orcid":"https://orcid.org/0000-0002-2407-0252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei-Wei Tu","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046260304","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0000-0002-5543-2500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100527530","display_name":"Wenyuan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenyuan Dai","raw_affiliation_strings":["4Paradigm Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4055,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91994354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"3846","last_page":"3853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9952999949455261,"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":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.8971015810966492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105112075805664},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6363219618797302},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5778094530105591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5661061406135559},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.565740704536438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453587770462036},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.467661052942276},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4644802510738373},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.4334549307823181},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3292365074157715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09855428338050842},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08570995926856995}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.8971015810966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105112075805664},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6363219618797302},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5778094530105591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5661061406135559},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.565740704536438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453587770462036},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.467661052942276},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4644802510738373},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.4334549307823181},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3292365074157715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09855428338050842},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08570995926856995},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33013846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013846","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4272/4150","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4272","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-100488","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-100488","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-100488","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000485292603106","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33013846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013846","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4272/4150","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5469316478","display_name":null,"funder_award_id":"61876077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903933688.pdf","grobid_xml":"https://content.openalex.org/works/W2903933688.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1502024436","https://openalex.org/W1591760165","https://openalex.org/W1972209418","https://openalex.org/W2019363670","https://openalex.org/W2096678000","https://openalex.org/W2096963972","https://openalex.org/W2097998348","https://openalex.org/W2106411961","https://openalex.org/W2113311364","https://openalex.org/W2131241448","https://openalex.org/W2138537392","https://openalex.org/W2147836594","https://openalex.org/W2150940164","https://openalex.org/W2158698691","https://openalex.org/W2165962877","https://openalex.org/W2167467747","https://openalex.org/W2182361439","https://openalex.org/W2192203593","https://openalex.org/W2314909327","https://openalex.org/W2461750512","https://openalex.org/W2604877292","https://openalex.org/W2613868844","https://openalex.org/W2754588405","https://openalex.org/W2768348081","https://openalex.org/W2803774846","https://openalex.org/W2808578944","https://openalex.org/W2949431720","https://openalex.org/W2963248505","https://openalex.org/W2997644599","https://openalex.org/W4237069172","https://openalex.org/W4296278153","https://openalex.org/W4297803580","https://openalex.org/W4367058838","https://openalex.org/W6655142800","https://openalex.org/W6674385629","https://openalex.org/W6676179485","https://openalex.org/W6682241100","https://openalex.org/W6683445055","https://openalex.org/W6719201167","https://openalex.org/W7075594810"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2135608140","https://openalex.org/W2347409177","https://openalex.org/W2895525995","https://openalex.org/W2319626700","https://openalex.org/W4319589573","https://openalex.org/W1997070615"],"abstract_inverted_index":{"Automatic":[0],"machine":[1,12],"learning":[2,13,26],"(AutoML)":[3],"aims":[4],"at":[5],"automatically":[6],"choosing":[7],"the":[8,83,87,108,115,148,161],"best":[9],"configuration":[10,17,45,154],"for":[11,42,63],"tasks.":[14,139],"However,":[15,86],"a":[16,43,59,101,123],"evaluation":[18],"can":[19,90,131,151],"be":[20,91,97,132],"very":[21,78,102],"time":[22],"consuming":[23],"particularly":[24],"on":[25,73,82,142],"tasks":[27],"with":[28,99],"large":[29],"datasets.":[30],"This":[31],"limitation":[32],"usually":[33],"restrains":[34],"derivative-free":[35,60,153],"optimization":[36,61],"from":[37,135],"releasing":[38],"its":[39],"full":[40,84],"power":[41],"fine":[44],"search":[46,155],"using":[47,65],"many":[48,70],"evaluations.":[49,67,163],"To":[50],"alleviate":[51],"this":[52,55],"limitation,":[53],"in":[54],"paper,":[56],"we":[57],"propose":[58,107],"framework":[62,150],"AutoML":[64,144],"multi-fidelity":[66,162],"It":[68],"uses":[69],"lowfidelity":[71,88],"evaluations":[72,81,89],"small":[74],"data":[75],"subsets":[76],"and":[77,94,137],"few":[79],"highfidelity":[80],"dataset.":[85],"badly":[92],"biased,":[93],"need":[95],"to":[96],"corrected":[98],"only":[100],"low":[103],"cost.":[104],"We":[105],"thus":[106],"Transfer":[109],"Series":[110],"Expansion":[111],"(TSE)":[112],"that":[113,147],"learns":[114],"low-fidelity":[116],"correction":[117],"predictor":[118],"efficiently":[119],"by":[120,157],"linearly":[121],"combining":[122],"set":[124],"of":[125,160],"base":[126,129],"predictors.":[127],"The":[128],"predictors":[130],"obtained":[133],"cheaply":[134],"down-scaled":[136],"experienced":[138],"Experimental":[140],"results":[141],"real-world":[143],"problems":[145],"verify":[146],"proposed":[149],"accelerate":[152],"significantly":[156],"making":[158],"use":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
