{"id":"https://openalex.org/W4388827248","doi":"https://doi.org/10.1145/3633456","title":"Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation","display_name":"Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388827248","doi":"https://doi.org/10.1145/3633456"},"language":"en","primary_location":{"id":"doi:10.1145/3633456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3633456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3633456","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3633456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068487966","display_name":"Sait Cakmak","orcid":"https://orcid.org/0000-0001-5845-8506"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sait Cakmak","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA","Georgia Institute of Technology School of Industrial and Systems Engineering, USA"],"raw_orcid":"https://orcid.org/0000-0001-5845-8506","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Industrial and Systems Engineering, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370107","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0002-9863-273X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA","Georgia Institute of Technology School of Industrial and Systems Engineering, USA"],"raw_orcid":"https://orcid.org/0000-0002-9863-273X","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Industrial and Systems Engineering, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076608196","display_name":"Siyang Gao","orcid":"https://orcid.org/0000-0002-3574-6393"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Siyang Gao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong","City University of Hong Kong Department of Advanced Design and Systems Engineering, China"],"raw_orcid":"https://orcid.org/0000-0002-3574-6393","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong Department of Advanced Design and Systems Engineering, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083807807","display_name":"Enlu Zhou","orcid":"https://orcid.org/0000-0001-5399-6508"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enlu Zhou","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA","Georgia Institute of Technology School of Industrial and Systems Engineering, USA"],"raw_orcid":"https://orcid.org/0000-0001-5399-6508","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology School of Industrial and Systems Engineering, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068487966"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.6567,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87415897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9983000159263611,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.6404746770858765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234196424484253},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5765587091445923},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5658981204032898},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.560447633266449},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5480653047561646},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5475505590438843},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5140753984451294},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48890867829322815},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4614078104496002},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.44508951902389526},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4238031208515167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35444551706314087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3285934031009674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26769769191741943},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.10956883430480957},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10667300224304199}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6404746770858765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234196424484253},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5765587091445923},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5658981204032898},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.560447633266449},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5480653047561646},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5475505590438843},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5140753984451294},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48890867829322815},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4614078104496002},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.44508951902389526},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4238031208515167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35444551706314087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3285934031009674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26769769191741943},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.10956883430480957},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10667300224304199},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3633456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3633456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3633456","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/949324eb-fd4c-42c4-a99d-c367d8e4788b","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/949324eb-fd4c-42c4-a99d-c367d8e4788b","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"CAKMAK, S, WANG, Y, GAO, S & ZHOU, E 2024, 'Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation', ACM Transactions on Modeling and Computer Simulation, vol. 34, no. 2, 8. https://doi.org/10.1145/3633456","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3633456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3633456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3633456","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3018727821","display_name":null,"funder_award_id":"FA9550-19-1-0283","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3448674459","display_name":null,"funder_award_id":"FA9550-19-1-0283, and FA9550-22-1-0244","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G8926384904","display_name":null,"funder_award_id":"FA9550-22-1-0244","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388827248.pdf","grobid_xml":"https://content.openalex.org/works/W4388827248.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W585593720","https://openalex.org/W1536615069","https://openalex.org/W1973738368","https://openalex.org/W2145286212","https://openalex.org/W2152518495","https://openalex.org/W2152626185","https://openalex.org/W2155927283","https://openalex.org/W2734733109","https://openalex.org/W2761283651","https://openalex.org/W2793133812","https://openalex.org/W2803091665","https://openalex.org/W2914849365","https://openalex.org/W2964059559","https://openalex.org/W2995738133","https://openalex.org/W3129972323","https://openalex.org/W3197635733","https://openalex.org/W3202273159","https://openalex.org/W4212774754","https://openalex.org/W4220878832","https://openalex.org/W4237029372","https://openalex.org/W4283698198","https://openalex.org/W4301258660","https://openalex.org/W4301621763","https://openalex.org/W4365799940"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2798198862","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W1546381263"],"abstract_inverted_index":{"In":[0,31],"many":[1],"real-world":[2],"problems,":[3],"we":[4,34,47],"are":[5],"faced":[6],"with":[7],"the":[8,12,21,36,51,65,72,79,90,96,106,118,123],"problem":[9,41],"of":[10,18,85,125,140],"selecting":[11],"best":[13,22,52],"among":[14],"a":[15,43,59,126],"finite":[16],"number":[17],"alternatives,":[19],"where":[20,46],"alternative":[23,53,69],"is":[24,135],"determined":[25],"based":[26],"on":[27],"context":[28],"specific":[29],"information.":[30],"this":[32],"work,":[33],"study":[35],"contextual":[37,83],"Ranking":[38],"and":[39,70,81,113],"Selection":[40],"under":[42,122],"finite-alternative-finite-context":[44],"setting,":[45],"aim":[48],"to":[49,63,100,104],"find":[50],"for":[54,67,77],"each":[55,68],"context.":[56],"We":[57,88,109],"use":[58],"separate":[60],"Gaussian":[61,97],"process":[62,98],"model":[64],"reward":[66],"derive":[71],"large":[73],"deviations":[74],"rate":[75,107,121],"function":[76],"both":[78],"expected":[80],"worst-case":[82],"probability":[84],"correct":[86],"selection.":[87],"propose":[89],"GP-C-OCBA":[91],"sampling":[92,141],"policy,":[93],"which":[94],"uses":[95],"posterior":[99],"iteratively":[101],"allocate":[102],"observations":[103],"maximize":[105],"function.":[108],"prove":[110],"its":[111],"consistency":[112],"show":[114,131],"that":[115,132],"it":[116],"achieves":[117],"optimal":[119],"convergence":[120],"assumption":[124],"non-informative":[127],"prior.":[128],"Numerical":[129],"experiments":[130],"our":[133],"algorithm":[134],"highly":[136],"competitive":[137],"in":[138],"terms":[139],"efficiency,":[142],"while":[143],"having":[144],"significantly":[145],"smaller":[146],"computational":[147],"overhead.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-11-21T00:00:00"}