{"id":"https://openalex.org/W4296425773","doi":"https://doi.org/10.1109/tac.2022.3207871","title":"Efficient Sampling Policy for Selecting a Subset With the Best","display_name":"Efficient Sampling Policy for Selecting a Subset With the Best","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4296425773","doi":"https://doi.org/10.1109/tac.2022.3207871"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2022.3207871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2022.3207871","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Transactions on Automatic Control","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/A5082836333","display_name":"Gongbo Zhang","orcid":"https://orcid.org/0000-0002-7517-7666"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gongbo Zhang","raw_affiliation_strings":["Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7517-7666","affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427326","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-2962-9254"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2962-9254","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044965133","display_name":"Qing\u2010Shan Jia","orcid":"https://orcid.org/0000-0002-4683-7215"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Shan Jia","raw_affiliation_strings":["Center for Intelligent and Networked Systems (CFINS), Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4683-7215","affiliations":[{"raw_affiliation_string":"Center for Intelligent and Networked Systems (CFINS), Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005503619","display_name":"Yijie Peng","orcid":"https://orcid.org/0000-0003-2584-8131"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Peng","raw_affiliation_strings":["Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2584-8131","affiliations":[{"raw_affiliation_string":"Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082836333"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.356,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82379237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"68","issue":"8","first_page":"4904","last_page":"4911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9980000257492065,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6453026533126831},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.6373043656349182},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6358581781387329},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.6069089770317078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879745483398438},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.511459231376648},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.504313588142395},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.4774344861507416},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42641395330429077},{"id":"https://openalex.org/keywords/stochastic-control","display_name":"Stochastic control","score":0.4241476058959961},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.41829168796539307},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.4111626148223877},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.4024723768234253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34920498728752136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15091899037361145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11148080229759216}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6453026533126831},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.6373043656349182},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6358581781387329},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.6069089770317078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879745483398438},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.511459231376648},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.504313588142395},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.4774344861507416},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42641395330429077},{"id":"https://openalex.org/C170131372","wikidata":"https://www.wikidata.org/wiki/Q7617811","display_name":"Stochastic control","level":3,"score":0.4241476058959961},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.41829168796539307},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.4111626148223877},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.4024723768234253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34920498728752136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15091899037361145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11148080229759216},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2022.3207871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2022.3207871","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Transactions on Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1761450871","display_name":null,"funder_award_id":"62073182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1990732650","display_name":null,"funder_award_id":"71901003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4237507856","display_name":null,"funder_award_id":"72022001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5492808859","display_name":null,"funder_award_id":"62125304","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W600148761","https://openalex.org/W1510052597","https://openalex.org/W1536615069","https://openalex.org/W1580994876","https://openalex.org/W1698608285","https://openalex.org/W1967595785","https://openalex.org/W1986412858","https://openalex.org/W2002255430","https://openalex.org/W2027968610","https://openalex.org/W2029530218","https://openalex.org/W2037728958","https://openalex.org/W2054222839","https://openalex.org/W2055666497","https://openalex.org/W2089425220","https://openalex.org/W2097415784","https://openalex.org/W2098432798","https://openalex.org/W2100655446","https://openalex.org/W2135243999","https://openalex.org/W2146879621","https://openalex.org/W2155927283","https://openalex.org/W2165138637","https://openalex.org/W2401855953","https://openalex.org/W2484571116","https://openalex.org/W2487144912","https://openalex.org/W2531611812","https://openalex.org/W2613173929","https://openalex.org/W2963653944","https://openalex.org/W2970576388","https://openalex.org/W3033703165","https://openalex.org/W3092151751","https://openalex.org/W3111010198","https://openalex.org/W3140281130","https://openalex.org/W3140696046","https://openalex.org/W4212920552","https://openalex.org/W4213046134","https://openalex.org/W4245441324","https://openalex.org/W4255907263","https://openalex.org/W6634714706"],"related_works":["https://openalex.org/W3048549205","https://openalex.org/W4306892756","https://openalex.org/W4389568284","https://openalex.org/W2173570290","https://openalex.org/W4386272992","https://openalex.org/W3153900688","https://openalex.org/W3089300597","https://openalex.org/W4301305831","https://openalex.org/W1485248950","https://openalex.org/W2790539397"],"abstract_inverted_index":{"In":[0,54],"this":[1],"article,":[2],"we":[3,60],"study":[4],"the":[5,12,30,41,73,77,84,87],"problem":[6,49],"of":[7,14,18,33,76,86],"selecting":[8,35],"a":[9,15,21,37,46,51,62],"subset":[10],"with":[11],"best":[13],"finite":[16],"number":[17],"alternatives":[19],"under":[20],"fixed":[22],"simulation":[23],"budget.":[24],"Our":[25],"work":[26],"aims":[27],"to":[28],"maximize":[29],"posterior":[31],"probability":[32],"correctly":[34],"such":[36],"subset.":[38],"We":[39,71],"formulate":[40],"dynamic":[42,57],"sampling":[43,64,79],"decision":[44],"as":[45],"stochastic":[47],"control":[48],"in":[50],"Bayesian":[52],"setting.":[53],"an":[55],"approximate":[56],"programming":[58],"paradigm,":[59],"propose":[61],"sequential":[63],"policy":[65],"based":[66],"on":[67],"value":[68],"function":[69],"approximation.":[70],"analyze":[72],"asymptotic":[74],"property":[75],"proposed":[78,88],"policy.":[80],"Numerical":[81],"experiments":[82],"demonstrate":[83],"efficiency":[85],"procedure.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-09-20T00:00:00"}