{"id":"https://openalex.org/W4387143446","doi":"https://doi.org/10.1109/case56687.2023.10260520","title":"RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels","display_name":"RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387143446","doi":"https://doi.org/10.1109/case56687.2023.10260520"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260520","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.03912","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061083354","display_name":"Alexander Shmakov","orcid":"https://orcid.org/0000-0002-7440-9525"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Shmakov","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044326457","display_name":"Avisek Naug","orcid":"https://orcid.org/0000-0003-3253-7286"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avisek Naug","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074061593","display_name":"Vineet Gundecha","orcid":"https://orcid.org/0000-0001-8688-3665"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vineet Gundecha","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059817864","display_name":"Sahand Ghorbanpour","orcid":"https://orcid.org/0000-0003-3569-3065"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahand Ghorbanpour","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002515819","display_name":"Ricardo Luna Guti\u00e9rrez","orcid":"https://orcid.org/0000-0001-9915-0989"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ricardo Luna Gutierrez","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023297665","display_name":"Ashwin Ramesh Babu","orcid":"https://orcid.org/0000-0002-4131-7659"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashwin Ramesh Babu","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102853309","display_name":"Antonio Guill\u00e9n","orcid":"https://orcid.org/0000-0003-3067-6469"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Guillen","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005133715","display_name":"Soumyendu Sarkar","orcid":"https://orcid.org/0000-0003-0115-4944"},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumyendu Sarkar","raw_affiliation_strings":["Hewlett Packard Enterprise,USA","Hewlett Packard Enterprise, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise,USA","institution_ids":["https://openalex.org/I4210122178"]},{"raw_affiliation_string":"Hewlett Packard Enterprise, USA","institution_ids":["https://openalex.org/I4210122178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210122178"],"apc_list":null,"apc_paid":null,"fwci":0.4722,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57126845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987000226974487,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973999857902527,"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":0.9378916025161743},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.837334156036377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956920623779297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6684523820877075},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6643227934837341},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6389859914779663},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5790354609489441},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5599551796913147},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4869345426559448},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45961353182792664},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2533593475818634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19553527235984802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0886722207069397}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.9378916025161743},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.837334156036377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956920623779297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6684523820877075},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6643227934837341},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6389859914779663},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5790354609489441},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5599551796913147},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4869345426559448},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45961353182792664},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2533593475818634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19553527235984802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0886722207069397},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/case56687.2023.10260520","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2310.03912","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.03912","pdf_url":"https://arxiv.org/pdf/2310.03912","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.03912","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.03912","pdf_url":"https://arxiv.org/pdf/2310.03912","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387143446.pdf","grobid_xml":"https://content.openalex.org/works/W4387143446.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1902237438","https://openalex.org/W1980035368","https://openalex.org/W2061144551","https://openalex.org/W2073313121","https://openalex.org/W2109690032","https://openalex.org/W2131241448","https://openalex.org/W2135141237","https://openalex.org/W2460256350","https://openalex.org/W2593660867","https://openalex.org/W2781726626","https://openalex.org/W2783201493","https://openalex.org/W2981037657","https://openalex.org/W3011445295","https://openalex.org/W3128474010","https://openalex.org/W3133755701","https://openalex.org/W3185411971","https://openalex.org/W3213051418","https://openalex.org/W4211049957","https://openalex.org/W4252003911","https://openalex.org/W4283801627","https://openalex.org/W4288375870","https://openalex.org/W4289761856","https://openalex.org/W4297789121","https://openalex.org/W4299879948","https://openalex.org/W4312582738","https://openalex.org/W4385245566","https://openalex.org/W4385801146","https://openalex.org/W4385815571","https://openalex.org/W6631864531","https://openalex.org/W6678911119","https://openalex.org/W6684770997","https://openalex.org/W6718609478","https://openalex.org/W6734090873","https://openalex.org/W6739901393","https://openalex.org/W6747473740","https://openalex.org/W6747582307","https://openalex.org/W6769040946","https://openalex.org/W6769218391","https://openalex.org/W6791136995","https://openalex.org/W6791245825","https://openalex.org/W6796440240","https://openalex.org/W6856013695","https://openalex.org/W6856192215"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W3134690064","https://openalex.org/W4210726438","https://openalex.org/W4287752080","https://openalex.org/W3118984993","https://openalex.org/W3037706579","https://openalex.org/W4401389295","https://openalex.org/W3157580548"],"abstract_inverted_index":{"Bayesian":[0],"Optimization":[1],"(BO),":[2],"guided":[3],"by":[4,105],"Gaussian":[5],"process":[6],"(GP)":[7],"surrogates,":[8],"has":[9],"proven":[10],"to":[11,25,42,61,85,114,116,142],"be":[12],"an":[13],"invaluable":[14],"technique":[15],"for":[16,100],"efficient,":[17],"high-dimensional,":[18],"black-box":[19],"optimization,":[20],"a":[21,97,131],"critical":[22],"problem":[23],"inherent":[24],"many":[26],"applications":[27],"such":[28],"as":[29],"industrial":[30],"design":[31],"and":[32,52,81],"scientific":[33],"computing.":[34],"Recent":[35],"contributions":[36],"have":[37],"introduced":[38],"reinforcement":[39],"learning":[40],"(RL)":[41],"improve":[43,86],"the":[44,87,112,121],"optimization":[45,51,159],"performance":[46],"on":[47],"both":[48],"single":[49],"function":[50,134],"few-shot":[53,58],"multi-objective":[54],"optimization.":[55],"However,":[56],"even":[57],"techniques":[59],"fail":[60],"exploit":[62],"similarities":[63],"shared":[64],"between":[65],"closely":[66],"related":[67],"objectives.":[68],"In":[69],"this":[70,126],"paper,":[71],"we":[72],"combine":[73,125],"recent":[74],"developments":[75],"in":[76,144,156],"Deep":[77,128,149],"Kernel":[78,129,150],"Learning":[79,141],"(DKL)":[80],"attention-based":[82],"Transformer":[83,127,148],"models":[84],"modeling":[88],"powers":[89],"of":[90],"GP":[91],"surrogates":[92,104,113],"with":[93,130,136],"meta-learning.":[94],"We":[95,124],"propose":[96],"novel":[98],"method":[99],"improving":[101],"meta-learning":[102],"BO":[103,122],"incorporating":[106],"attention":[107],"mechanisms":[108],"into":[109],"DKL,":[110],"empowering":[111],"adapt":[115],"contextual":[117],"information":[118],"gathered":[119],"during":[120],"process.":[123],"learned":[132],"acquisition":[133],"trained":[135],"continuous":[137,157],"Soft":[138],"Actor-Critic":[139],"Reinforcement":[140],"aid":[143],"exploration.":[145],"This":[146],"Reinforced":[147],"(RTDK-BO)":[151],"approach":[152],"yields":[153],"state-of-the-art":[154],"results":[155],"high-dimensional":[158],"problems.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}