{"id":"https://openalex.org/W3157754505","doi":"https://doi.org/10.1109/tkde.2021.3077279","title":"Active and Compact Entropy Search for High-Dimensional Bayesian Optimization","display_name":"Active and Compact Entropy Search for High-Dimensional Bayesian Optimization","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3157754505","doi":"https://doi.org/10.1109/tkde.2021.3077279","mag":"3157754505"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3077279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3077279","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5100341957","display_name":"Run Li","orcid":"https://orcid.org/0009-0009-3771-0122"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: lirun@tju.edu.cn)","[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: lirun@tju.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: lirun@tju.edu.cn)","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: lirun@tju.edu.cn)]","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016550690","display_name":"Yucheng Shi","orcid":"https://orcid.org/0000-0002-8070-5363"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Shi","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: yucheng@tju.edu.cn)","[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: yucheng@tju.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: yucheng@tju.edu.cn)","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, (e-mail: yucheng@tju.edu.cn)]","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031819155","display_name":"Yahong Han","orcid":"https://orcid.org/0000-0003-2768-1398"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Han","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, 300350 (e-mail: yahong@tju.edu.cn)","[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, 300350 (e-mail: yahong@tju.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, 300350 (e-mail: yahong@tju.edu.cn)","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"[College of Intelligence and Computing, Tianjin University, 12605 Tianjin, Tianjin, China, 300350 (e-mail: yahong@tju.edu.cn)]","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015563699","display_name":"Yunfeng Shao","orcid":"https://orcid.org/0000-0002-4335-5157"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Yunfeng Shao","raw_affiliation_strings":["NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: shaoyunfeng@huawei.com)","[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: shaoyunfeng@huawei.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: shaoyunfeng@huawei.com)","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]},{"raw_affiliation_string":"[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: shaoyunfeng@huawei.com)]","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040309197","display_name":"Meiyu Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Meiyu Qi","raw_affiliation_strings":["NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: qimeiyu@huawei.com)","[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: qimeiyu@huawei.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: qimeiyu@huawei.com)","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]},{"raw_affiliation_string":"[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: qimeiyu@huawei.com)]","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102635565","display_name":"Bingshuai Li","orcid":"https://orcid.org/0000-0001-7655-6919"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Bingshuai Li","raw_affiliation_strings":["NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: libingshuai@huawei.com)","[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: libingshuai@huawei.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: libingshuai@huawei.com)","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]},{"raw_affiliation_string":"[NetMIND Research Team, Huawei Noah's Ark Lab, Beijing, Beijing, China, (e-mail: libingshuai@huawei.com)]","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.273,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60790376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9990000128746033,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9954000115394592,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.7633676528930664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832888126373291},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6175220608711243},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5374197959899902},{"id":"https://openalex.org/keywords/joint-entropy","display_name":"Joint entropy","score":0.4883541762828827},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45075222849845886},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4246000051498413},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3789060711860657},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3455578684806824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2675064206123352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19176289439201355}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7633676528930664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832888126373291},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6175220608711243},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5374197959899902},{"id":"https://openalex.org/C106752470","wikidata":"https://www.wikidata.org/wiki/Q1364826","display_name":"Joint entropy","level":3,"score":0.4883541762828827},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45075222849845886},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3789060711860657},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3455578684806824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2675064206123352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19176289439201355},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3077279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3077279","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1829462488","display_name":"\u8de8\u5a92\u4f53\u667a\u80fd\u95ee\u7b54\u548c\u63a8\u7406\u5173\u952e\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61932009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4407339161","display_name":null,"funder_award_id":"61876130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5334112463","display_name":null,"funder_award_id":"61925602, 61732011","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W61667912","https://openalex.org/W273955616","https://openalex.org/W1480330138","https://openalex.org/W1483202606","https://openalex.org/W1529817821","https://openalex.org/W1643574276","https://openalex.org/W1693986406","https://openalex.org/W1871676304","https://openalex.org/W1915824153","https://openalex.org/W2004672916","https://openalex.org/W2039522160","https://openalex.org/W2061144551","https://openalex.org/W2091568354","https://openalex.org/W2108048419","https://openalex.org/W2108114251","https://openalex.org/W2108751703","https://openalex.org/W2111241577","https://openalex.org/W2113207845","https://openalex.org/W2117561707","https://openalex.org/W2130283669","https://openalex.org/W2136517794","https://openalex.org/W2139805416","https://openalex.org/W2144336328","https://openalex.org/W2145237058","https://openalex.org/W2156375221","https://openalex.org/W2167789032","https://openalex.org/W2200000192","https://openalex.org/W2409689189","https://openalex.org/W2427941034","https://openalex.org/W2512994452","https://openalex.org/W2556372419","https://openalex.org/W2593660867","https://openalex.org/W2596709491","https://openalex.org/W2605088800","https://openalex.org/W2622730215","https://openalex.org/W2622957538","https://openalex.org/W2770570483","https://openalex.org/W2783201493","https://openalex.org/W2799181865","https://openalex.org/W2803103814","https://openalex.org/W2804534929","https://openalex.org/W2890055393","https://openalex.org/W2905290902","https://openalex.org/W2945677399","https://openalex.org/W2950141829","https://openalex.org/W2950277768","https://openalex.org/W2950646495","https://openalex.org/W2952131993","https://openalex.org/W2952519754","https://openalex.org/W2962824535","https://openalex.org/W2963805801","https://openalex.org/W2978512279","https://openalex.org/W2980498459","https://openalex.org/W3036152138","https://openalex.org/W3046057595","https://openalex.org/W3124229194","https://openalex.org/W4206547457","https://openalex.org/W4211049957","https://openalex.org/W4288611327","https://openalex.org/W4297733768","https://openalex.org/W4298089762","https://openalex.org/W6610017368","https://openalex.org/W6629021139","https://openalex.org/W6637591494","https://openalex.org/W6638209102","https://openalex.org/W6639099100","https://openalex.org/W6676576766","https://openalex.org/W6676817345","https://openalex.org/W6677088747","https://openalex.org/W6677764299","https://openalex.org/W6680331187","https://openalex.org/W6681076855","https://openalex.org/W6681367012","https://openalex.org/W6683037491","https://openalex.org/W6685594460","https://openalex.org/W6717592245","https://openalex.org/W6730269975","https://openalex.org/W6734090873","https://openalex.org/W6735043530","https://openalex.org/W6738826578","https://openalex.org/W6747582307","https://openalex.org/W6748577587","https://openalex.org/W6750868688","https://openalex.org/W6751594826","https://openalex.org/W6751895363","https://openalex.org/W6754370436","https://openalex.org/W6758886175","https://openalex.org/W6762734477","https://openalex.org/W6764988152","https://openalex.org/W6766900132","https://openalex.org/W6767342384"],"related_works":["https://openalex.org/W4382203014","https://openalex.org/W2889261288","https://openalex.org/W1519338247","https://openalex.org/W3041490575","https://openalex.org/W2783383155","https://openalex.org/W2949821122","https://openalex.org/W2970690932","https://openalex.org/W2036846997","https://openalex.org/W2034921015","https://openalex.org/W2147544021"],"abstract_inverted_index":{"Entropy":[0,121],"search":[1,43,74,196],"and":[2,190],"its":[3],"derivative":[4],"methods":[5,12,44],"are":[6,176],"one":[7,56],"class":[8],"of":[9,17,72,93,131],"Bayesian":[10,162],"Optimization":[11,163],"that":[13,89,148,184],"achieve":[14],"active":[15],"exploration":[16],"black-box":[18,34],"functions.":[19],"They":[20],"maximize":[21],"the":[22,26,29,33,37,55,58,70,80,87,99,129,137,143,154],"information":[23],"gain":[24],"about":[25],"position":[27],"in":[28,153],"input":[30,172],"space":[31],"where":[32],"function":[35],"gets":[36],"global":[38],"optimum.":[39],"However,":[40],"existing":[41,161,194],"entropy":[42,73,195],"suffer":[45],"from":[46],"harassment":[47],"caused":[48],"by":[49,141,160,178],"high":[50,76],"dimensional":[51,77],"optimization":[52],"problems.":[53,78],"On":[54,79],"hand,":[57,82],"computation":[59],"for":[60],"estimating":[61],"entropies":[62],"increases":[63],"exponentially":[64],"as":[65],"dimensions":[66,94,152,175],"increase,":[67],"which":[68,157],"limits":[69],"applicability":[71],"to":[75,109,124,167],"other":[81],"many":[83],"high-dimensional":[84],"problems":[85],"have":[86,95],"property":[88],"a":[90,169],"large":[91],"number":[92],"little":[96],"influence":[97],"on":[98],"objective":[100],"function,":[101,156],"but":[102],"currently":[103],"there":[104],"is":[105,158],"no":[106],"compress":[107],"mechanism":[108],"exclude":[110],"these":[111,126],"redundant":[112,174],"dimensions.":[113],"In":[114,165],"this":[115],"work,":[116],"we":[117],"propose":[118],"Active":[119],"Compact":[120],"Search":[122],"(AcCES)":[123],"fix":[125],"defects.":[127],"Under":[128],"guidance":[130],"historical":[132],"evaluation,":[133],"AcCES":[134,185],"actively":[135],"explores":[136],"prevalent":[138],"inter-dimensional":[139,180],"correlations":[140],"maximizing":[142],"linear":[144],"or":[145],"non-linear":[146],"relationships":[147],"may":[149],"exist":[150],"between":[151],"acquisition":[155],"ignored":[159],"methods.":[164,197],"order":[166],"build":[168],"more":[170],"compact":[171],"space,":[173],"compressed":[177],"exploiting":[179],"correlations.":[181],"Experiments":[182],"demonstrate":[183],"achieves":[186],"higher":[187],"query":[188],"efficiency":[189],"optimal":[191],"results":[192],"than":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}