{"id":"https://openalex.org/W2788795195","doi":"https://doi.org/10.1145/3178876.3186042","title":"Incentive-Aware Learning for Large Markets","display_name":"Incentive-Aware Learning for Large Markets","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2788795195","doi":"https://doi.org/10.1145/3178876.3186042","mag":"2788795195"},"language":"en","primary_location":{"id":"doi:10.1145/3178876.3186042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3178876.3186042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-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/A5037972828","display_name":"Alessandro Epasto","orcid":"https://orcid.org/0000-0003-0456-3217"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Epasto","raw_affiliation_strings":["Google Research, New York City, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018777906","display_name":"Mohammad Mahdian","orcid":"https://orcid.org/0000-0001-6294-0039"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdian","raw_affiliation_strings":["Google Research, New York City, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075598023","display_name":"Vahab Mirrokni","orcid":"https://orcid.org/0000-0001-6705-5629"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahab Mirrokni","raw_affiliation_strings":["Google Research, New York City, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016149057","display_name":"Song Zuo","orcid":"https://orcid.org/0000-0001-9488-0165"},"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":"Song Zuo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5226,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92644213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1369","last_page":"1378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9962999820709229,"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/T11031","display_name":"Game Theory and Applications","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.8106852173805237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46409764885902405},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.41366034746170044},{"id":"https://openalex.org/keywords/industrial-organization","display_name":"Industrial organization","score":0.33716392517089844},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.18812042474746704},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1444483995437622}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8106852173805237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46409764885902405},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.41366034746170044},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.33716392517089844},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.18812042474746704},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1444483995437622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3178876.3186042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3178876.3186042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W611768045","https://openalex.org/W1484554259","https://openalex.org/W1983916796","https://openalex.org/W1987141758","https://openalex.org/W1992428795","https://openalex.org/W1993116423","https://openalex.org/W2025738350","https://openalex.org/W2030876146","https://openalex.org/W2041979825","https://openalex.org/W2054844093","https://openalex.org/W2078319130","https://openalex.org/W2102588075","https://openalex.org/W2123820077","https://openalex.org/W2134745418","https://openalex.org/W2135682453","https://openalex.org/W2150409561","https://openalex.org/W2151144844","https://openalex.org/W2158281340","https://openalex.org/W2164143329","https://openalex.org/W2166074149","https://openalex.org/W2171945484","https://openalex.org/W2189241046","https://openalex.org/W2196697156","https://openalex.org/W2199385070","https://openalex.org/W2216069195","https://openalex.org/W2266969817","https://openalex.org/W2411323337","https://openalex.org/W2508573783","https://openalex.org/W2544285741","https://openalex.org/W2610284463","https://openalex.org/W2913525780","https://openalex.org/W2950725137","https://openalex.org/W3006498881","https://openalex.org/W3122472691"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2367468089","https://openalex.org/W2390279801","https://openalex.org/W2358591856","https://openalex.org/W2098133976","https://openalex.org/W2358668433","https://openalex.org/W2347416728","https://openalex.org/W2974100988","https://openalex.org/W2192670466","https://openalex.org/W3009514698"],"abstract_inverted_index":{"In":[0,27,77,111],"a":[1,18,49,107,121,144,154,167],"typical":[2],"learning":[3,70,118],"problem,":[4],"one":[5,15],"key":[6],"step":[7],"is":[8,34,45,66,128,143,153,199],"to":[9,13,47,53,85,101,130,166,208,215],"use":[10],"training":[11,32,88],"data":[12,33,89],"pick":[14],"model":[16,44],"from":[17],"collection":[19],"of":[20,39,64,69,98,147],"models":[21],"that":[22,57,126,191],"optimizes":[23],"an":[24,55,75,83,99],"objective":[25,134],"function.":[26],"many":[28],"multi-agent":[29],"settings,":[30],"the":[31,37,40,43,59,67,71,80,87,96,103,133,148,192,213],"generated":[35],"through":[36],"actions":[38],"agents,":[41],"and":[42,105,124,150],"used":[46],"make":[48,209],"decision":[50],"(e.g.,":[51,90],"how":[52],"sell":[54],"item)":[56],"affects":[58],"agents.":[60],"An":[61],"illustrative":[62,161],"example":[63],"this":[65,112,163,186],"problem":[68,119],"reserve":[72,173],"price":[73],"in":[74,95,120,175],"auction.":[76],"such":[78,116],"cases,":[79],"agents":[81,214],"have":[82],"incentive":[84],"influence":[86],"by":[91],"manipulating":[92],"their":[93],"bids":[94],"case":[97],"auction)":[100],"game":[102],"system":[104],"achieve":[106],"more":[108],"favorable":[109],"outcome.":[110],"paper,":[113],"we":[114,188,203],"study":[115],"incentive-aware":[117],"general":[122],"setting":[123,170],"show":[125,190],"it":[127,210],"possible":[129],"approximately":[131,171],"optimize":[132],"function":[135],"under":[136],"two":[137],"assumptions:":[138],"(i)":[139],"each":[140],"individual":[141,179],"agent":[142,180],"\"small\"":[145],"(part":[146],"market);":[149],"(ii)":[151],"there":[152],"cost":[155],"associated":[156],"with":[157],"manipulation.":[158],"For":[159,185],"our":[160],"application,":[162,187],"nicely":[164],"translates":[165],"mechanism":[168],"for":[169,212],"optimal":[172],"prices":[174],"auctions":[176],"where":[177],"no":[178],"has":[181],"significant":[182],"market":[183],"share.":[184],"also":[189],"second":[193],"assumption":[194],"(that":[195],"manipulations":[196],"are":[197],"costly)":[198],"not":[200],"necessary":[201],"since":[202],"can":[204],"\"perturb\"":[205],"any":[206],"auction":[207],"costly":[211],"manipulate.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
