{"id":"https://openalex.org/W4212827115","doi":"https://doi.org/10.1561/2200000077","title":"Learning in Repeated Auctions","display_name":"Learning in Repeated Auctions","publication_year":2022,"publication_date":"2022-02-14","ids":{"openalex":"https://openalex.org/W4212827115","doi":"https://doi.org/10.1561/2200000077"},"language":"en","primary_location":{"id":"doi:10.1561/2200000077","is_oa":false,"landing_page_url":"https://doi.org/10.1561/2200000077","pdf_url":null,"source":{"id":"https://openalex.org/S4210188176","display_name":"Foundations and Trends\u00ae in Machine Learning","issn_l":"1935-8237","issn":["1935-8237","1935-8245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Machine Learning","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/A5042221164","display_name":"Thomas N\u00e9delec","orcid":"https://orcid.org/0000-0002-9310-2879"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thomas Nedelec","raw_affiliation_strings":["ENS Paris Saclay and Criteo AI Lab ,","ENS Paris Saclay and Criteo AI Lab, France","Criteo AI Lab (Paris - France)","CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"ENS Paris Saclay and Criteo AI Lab ,","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"ENS Paris Saclay and Criteo AI Lab, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Criteo AI Lab (Paris - France)","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034842399","display_name":"Cl\u00e9ment Calauz\u00e8nes","orcid":null},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210147307","display_name":"Associa\u00e7\u00e3o Empresarial de Pa\u00e7os de Ferreira","ror":"https://ror.org/04n30gn53","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210147307"]},{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR","PT"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Calauz\u00e8nes","raw_affiliation_strings":["Criteo AI Lab ,","Criteo [Paris] (32 rue Blanche 75 009 Paris - France)","FAIRPLAY - IA coop\u00e9rative : \u00e9quit\u00e9, vie priv\u00e9e, incitations (Campus de l'\u00c9cole Polytechnique 5 Av. Le Chatelier 91120 Palaiseau - France)"],"affiliations":[{"raw_affiliation_string":"Criteo AI Lab ,","institution_ids":["https://openalex.org/I4210161401","https://openalex.org/I4210147307"]},{"raw_affiliation_string":"Criteo [Paris] (32 rue Blanche 75 009 Paris - France)","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"FAIRPLAY - IA coop\u00e9rative : \u00e9quit\u00e9, vie priv\u00e9e, incitations (Campus de l'\u00c9cole Polytechnique 5 Av. Le Chatelier 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073887573","display_name":"Noureddine El Karoui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Noureddine El Karoui","raw_affiliation_strings":["UC Work done while at , Berkeley, USA, and Criteo AI Lab,","Work done while at UC, Berkeley, USA, and Criteo AI Lab, France","UC Berkeley - University of California [Berkeley] (Berkeley, CA - United States)"],"affiliations":[{"raw_affiliation_string":"UC Work done while at , Berkeley, USA, and Criteo AI Lab,","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Work done while at UC, Berkeley, USA, and Criteo AI Lab, France","institution_ids":["https://openalex.org/I4210161401","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley - University of California [Berkeley] (Berkeley, CA - United States)","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067550667","display_name":"Vianney Perchet","orcid":"https://orcid.org/0000-0002-9333-264X"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210097629","display_name":"\u00c9cole Nationale d'Administration","ror":"https://ror.org/00x4mq261","country_code":"SN","type":"education","lineage":["https://openalex.org/I4210097629"]},{"id":"https://openalex.org/I4210161401","display_name":"Criteo (France)","ror":"https://ror.org/04vyg0r47","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210161401"]}],"countries":["FR","SN"],"is_corresponding":false,"raw_author_name":"Vianney Perchet","raw_affiliation_strings":["ENSAE and Criteo AI Lab ,","Criteo AI Lab (Paris - France)","ENSAE - Ecole Nationale de la Statistique et de l'Analyse Economique (ENSAE-S\u00e9n\u00e9gal Libert\u00e9 VI extension - VDN, N\u00b0 26 BP 45512- Dakar Fann - Senegal)","FAIRPLAY - IA coop\u00e9rative : \u00e9quit\u00e9, vie priv\u00e9e, incitations (Campus de l'\u00c9cole Polytechnique 5 Av. Le Chatelier 91120 Palaiseau - France)"],"affiliations":[{"raw_affiliation_string":"ENSAE and Criteo AI Lab ,","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"Criteo AI Lab (Paris - France)","institution_ids":["https://openalex.org/I4210161401"]},{"raw_affiliation_string":"ENSAE - Ecole Nationale de la Statistique et de l'Analyse Economique (ENSAE-S\u00e9n\u00e9gal Libert\u00e9 VI extension - VDN, N\u00b0 26 BP 45512- Dakar Fann - Senegal)","institution_ids":["https://openalex.org/I4210097629"]},{"raw_affiliation_string":"FAIRPLAY - IA coop\u00e9rative : \u00e9quit\u00e9, vie priv\u00e9e, incitations (Campus de l'\u00c9cole Polytechnique 5 Av. Le Chatelier 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I142476485"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042221164"],"corresponding_institution_ids":["https://openalex.org/I29607241","https://openalex.org/I4210161401"],"apc_list":null,"apc_paid":null,"fwci":2.3741,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88843108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"176","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9994999766349792,"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/T11182","display_name":"Auction Theory and Applications","score":0.9994999766349792,"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/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.496006578207016},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36778879165649414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34882819652557373},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3411639630794525},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.17606037855148315}],"concepts":[{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.496006578207016},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36778879165649414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34882819652557373},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3411639630794525},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.17606037855148315}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1561/2200000077","is_oa":false,"landing_page_url":"https://doi.org/10.1561/2200000077","pdf_url":null,"source":{"id":"https://openalex.org/S4210188176","display_name":"Foundations and Trends\u00ae in Machine Learning","issn_l":"1935-8237","issn":["1935-8237","1935-8245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05248710v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05248710","pdf_url":null,"source":{"id":"https://openalex.org/S4406922464","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"15 (3), pp.176-334, 2022, &#x27E8;10.1561/2200000077&#x27E9;","raw_type":"Books"},{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-033308258","is_oa":false,"landing_page_url":"https://www.nowpublishers.com/article/Details/MAL-077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3125419042","https://openalex.org/W203077648","https://openalex.org/W995038129","https://openalex.org/W4388211099","https://openalex.org/W1569465204","https://openalex.org/W2100192999","https://openalex.org/W2561443874","https://openalex.org/W3123623930","https://openalex.org/W2116814789"],"abstract_inverted_index":{"Online":[0],"auctions":[1,162],"are":[2,95,100,233,286,300],"one":[3],"of":[4,9,19,21,35,52,102,127,159,173,180,193,268,293],"the":[5,10,33,37,49,113,155,171,190,225,237,244,280,294,306],"most":[6],"fundamental":[7],"facets":[8],"modern":[11],"economy":[12],"and":[13,98,291,296],"power":[14,305],"an":[15],"industry":[16],"generating":[17],"hundreds":[18],"billions":[20],"dollars":[22],"a":[23,42,164,178,209],"year":[24],"in":[25,61,86,148,150,224,275,283,288],"revenue.":[26],"Auction":[27],"theory":[28,118],"has":[29,208],"historically":[30],"focused":[31],"on":[32,67,77,170],"question":[34,172],"designing":[36],"best":[38],"way":[39],"to":[40,45,75,108,122,139,211,236,258,304],"sell":[41],"single":[43],"item":[44],"potential":[46],"buyers,":[47],"with":[48,163,243],"concurrent":[50],"objectives":[51],"maximizing":[53],"revenue":[54],"generated":[55],"or":[56,105,218],"welfare":[57],"created.":[58],"Theoretical":[59],"results":[60],"this":[62,284],"area":[63],"have":[64,76],"typically":[65],"relied":[66],"some":[68],"prior":[69],"Bayesian":[70,165],"knowledge":[71],"agents":[72,99,133,252],"were":[73],"assumed":[74],"each":[78,103,110],"other.":[79,111],"This":[80,143],"assumption":[81],"is":[82,266],"no":[83],"longer":[84],"satisfied":[85],"new":[87],"markets":[88],"such":[89],"as":[90,132,187,189,239],"online":[91,203],"advertising:":[92],"similar":[93],"items":[94],"sold":[96],"repeatedly,":[97],"unaware":[101],"other":[104,114],"might":[106],"try":[107],"manipulate":[109,255],"On":[112],"hand,":[115],"statistical":[116],"learning":[117,149,174],"now":[119],"provides":[120],"tools":[121],"supplement":[123],"those":[124],"missing":[125],"pieces":[126],"information":[128],"given":[129],"enough":[130],"data,":[131],"can":[134,253],"learn":[135],"from":[136,154,177],"their":[137,141,259],"environment":[138],"improve":[140],"strategies.":[142],"monograph":[144,285],"covers":[145],"recent":[146],"advances":[147],"repeated":[151,256],"auctions,":[152,257],"starting":[153],"traditional":[156],"economic":[157],"study":[158],"optimal":[160,175],"one-shot":[161],"prior.":[166],"We":[167,199,247],"then":[168],"focus":[169],"mechanisms":[176],"dataset":[179],"bidders\u2019":[181],"past":[182],"values.":[183],"The":[184],"sample":[185],"complexity":[186],"well":[188],"computational":[191],"efficiency":[192],"different":[194],"methods":[195],"will":[196,200,228,248],"be":[197,212],"studied.":[198],"also":[201,234],"investigate":[202],"variants":[204],"where":[205],"gathering":[206],"data":[207],"cost":[210],"accounted":[213],"for,":[214],"either":[215],"by":[216],"sellers":[217],"buyers":[219,274],"(\u201cearning":[220],"while":[221],"learning\u201d).":[222],"Later":[223],"monograph,":[226],"we":[227,298],"further":[229],"assume":[230],"that":[231,267],"bidders":[232],"adaptive":[235],"mechanism":[238],"they":[240],"interact":[241],"repeatedly":[242],"same":[245],"seller.":[246],"show":[249],"how":[250],"strategic":[251,273],"actually":[254],"own":[260],"advantage.":[261],"A":[262],"particularly":[263],"interesting":[264],"example":[265],"reserve":[269],"price":[270,277],"improvements":[271],"for":[272],"second":[276],"auctions.":[278],"All":[279],"questions":[281],"discussed":[282],"grounded":[287],"real-world":[289],"applications":[290],"many":[292],"ideas":[295],"algorithms":[297],"describe":[299],"used":[301],"every":[302],"day":[303],"Internet":[307],"economy.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-31T06:02:25.137627","created_date":"2025-10-10T00:00:00"}
