{"id":"https://openalex.org/W4400276119","doi":"https://doi.org/10.1109/jstsp.2024.3422825","title":"Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction","display_name":"Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4400276119","doi":"https://doi.org/10.1109/jstsp.2024.3422825"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2024.3422825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3422825","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kclpure.kcl.ac.uk/ws/files/276918464/2306.17815v3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081598860","display_name":"Yunchuan Zhang","orcid":"https://orcid.org/0000-0002-5532-602X"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunchuan Zhang","raw_affiliation_strings":["King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5532-602X","affiliations":[{"raw_affiliation_string":"King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118899957","display_name":"Sangwoo Park","orcid":"https://orcid.org/0000-0003-4091-7860"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sangwoo Park","raw_affiliation_strings":["King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4091-7860","affiliations":[{"raw_affiliation_string":"King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017736224","display_name":"Osvaldo Simeone","orcid":"https://orcid.org/0000-0001-9898-3209"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Osvaldo Simeone","raw_affiliation_strings":["King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9898-3209","affiliations":[{"raw_affiliation_string":"King&#x0027;s Communications, Learning and Information Processing (KCLIP) Lab within the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King&#x0027;s College London, London, U.K","institution_ids":["https://openalex.org/I4210119896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6656,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9374891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"45","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9997000098228455,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.6201041340827942},{"id":"https://openalex.org/keywords/conformal-map","display_name":"Conformal map","score":0.6149577498435974},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5984382629394531},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5870514512062073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37135010957717896},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32973921298980713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2198978066444397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201041340827942},{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.6149577498435974},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5984382629394531},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5870514512062073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37135010957717896},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32973921298980713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2198978066444397},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstsp.2024.3422825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2024.3422825","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/85b2b25a-7798-4771-8afb-0c0ef2bb962e","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/85b2b25a-7798-4771-8afb-0c0ef2bb962e","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/276918464/2306.17815v3.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, Y, Park, S & Simeone, O 2024, 'Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction', Ieee Journal Of Selected Topics In Signal Processing, pp. 1-15. https://doi.org/10.1109/JSTSP.2024.3422825","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/85b2b25a-7798-4771-8afb-0c0ef2bb962e","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/files/276918464/2306.17815v3.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, Y, Park, S & Simeone, O 2024, 'Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction', Ieee Journal Of Selected Topics In Signal Processing, pp. 1-15. https://doi.org/10.1109/JSTSP.2024.3422825","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/85b2b25a-7798-4771-8afb-0c0ef2bb962e","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/85b2b25a-7798-4771-8afb-0c0ef2bb962e","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/276918464/2306.17815v3.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, Y, Park, S & Simeone, O 2024, 'Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction', Ieee Journal Of Selected Topics In Signal Processing, pp. 1-15. https://doi.org/10.1109/JSTSP.2024.3422825","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400276119.pdf","grobid_xml":"https://content.openalex.org/works/W4400276119.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W25184985","https://openalex.org/W1502922572","https://openalex.org/W1553101044","https://openalex.org/W1988645907","https://openalex.org/W2166566250","https://openalex.org/W2186013251","https://openalex.org/W2219888463","https://openalex.org/W2979767393","https://openalex.org/W2992303292","https://openalex.org/W3026001713","https://openalex.org/W3112469981","https://openalex.org/W3163842339","https://openalex.org/W3168060678","https://openalex.org/W3175352502","https://openalex.org/W3212601637","https://openalex.org/W4206275166","https://openalex.org/W4281257214","https://openalex.org/W4286539705","https://openalex.org/W4289761856","https://openalex.org/W4296705670","https://openalex.org/W4320855572","https://openalex.org/W4361012985","https://openalex.org/W4381163449","https://openalex.org/W4388113448","https://openalex.org/W4406259164","https://openalex.org/W6608206471","https://openalex.org/W6637653338","https://openalex.org/W6677959772","https://openalex.org/W6680012447","https://openalex.org/W6752250221","https://openalex.org/W6753146606","https://openalex.org/W6766900132","https://openalex.org/W6767408606","https://openalex.org/W6777398311","https://openalex.org/W6797767573","https://openalex.org/W6804111251","https://openalex.org/W6839037197","https://openalex.org/W6845261369","https://openalex.org/W6846244832","https://openalex.org/W6854124282","https://openalex.org/W6862745085"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W2747077871","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W1971223889","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2173406670","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Black-box":[0],"zero-th":[1],"order":[2],"optimizationis":[3],"a":[4,19,25,118,139],"central":[5],"primitive":[6],"for":[7,167],"applications":[8],"in":[9,49,201],"fields":[10],"as":[11,13,101,124,126,185],"diverse":[12],"finance,":[14],"physics,":[15],"and":[16,64,195,217,223],"engineering.":[17],"In":[18,43,136],"common":[20],"formulation":[21],"of":[22,37,60,73,150,152,165,174,176,225],"this":[23,44,137],"problem,":[24],"designer":[26],"sequentially":[27],"attempts":[28],"candidate":[29],"solutions,":[30],"receiving":[31],"noisy":[32],"feedback":[33,51,122,203],"on":[34,55,84,87,129,190,204,215],"the":[35,41,56,61,65,71,80,130,153,163,177,199,205,221,226],"value":[36],"each":[38],"attempt":[39],"from":[40],"system.":[42],"paper,":[45,138],"we":[46],"study":[47],"scenarios":[48],"which":[50,202],"is":[52,67,107,143,160,196,208],"also":[53],"provided":[54],"<italic":[57,112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,103,113,187,229],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">safety</i>":[59],"attempted":[62],"solution,":[63],"optimizer":[66],"constrained":[68],"to":[69,100,110,184,198],"limit":[70],"number":[72],"unsafe":[74,115],"solutions":[75],"that":[76,106,145],"are":[77,134],"tried":[78],"throughout":[79],"optimization":[81,89,96],"process.":[82],"Focusing":[83],"methods":[85],"based":[86],"Bayesian":[88],"(BO),":[90],"prior":[91],"art":[92],"has":[93],"introduced":[94,144],"an":[95,168],"scheme":[97],"\u2013":[98,105],"referred":[99,183],"<sc":[102,186,228],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SafeOpt</small>":[104],"guaranteed":[108],"not":[109],"select":[111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">any</i>":[114],"solution":[116],"with":[117],"controllable":[119,170],"probability":[120],"over":[121],"noise":[123],"long":[125],"strict":[127],"assumptions":[128],"safety":[131,147,178,206],"constraint":[132,154,207],"function":[133],"met.":[135],"novel":[140],"BO-based":[141],"approach":[142],"satisfies":[146],"requirements":[148],"irrespective":[149],"properties":[151],"function.":[155],"This":[156],"strong":[157],"theoretical":[158],"guarantee":[159],"obtained":[161],"at":[162],"cost":[164],"allowing":[166],"arbitrary,":[169],"but":[171],"non-zero,":[172],"rate":[173],"violation":[175],"constraint.":[179],"The":[180],"proposed":[181,227],"method,":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Safe-Bocp</small>,":[188],"builds":[189],"online":[191],"conformal":[192],"prediction":[193],"(CP)":[194],"specialized":[197],"cases":[200],"either":[209],"noiseless":[210],"or":[211],"noisy.":[212],"Experimental":[213],"results":[214],"synthetic":[216],"real-world":[218],"data":[219],"validate":[220],"advantages":[222],"flexibility":[224],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Safe-Bocp</small>.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
