{"id":"https://openalex.org/W4411945874","doi":"https://doi.org/10.1145/3736252.3742516","title":"Estimation of Games under No Regret: Structural Econometrics for AI","display_name":"Estimation of Games under No Regret: Structural Econometrics for AI","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411945874","doi":"https://doi.org/10.1145/3736252.3742516"},"language":"en","primary_location":{"id":"doi:10.1145/3736252.3742516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742516","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742516","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081999044","display_name":"Niccol\u00f2 Lomys","orcid":"https://orcid.org/0000-0003-1757-0037"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Niccol\u00f2 Lomys","raw_affiliation_strings":["CSEF &amp; Universit\u00e0 degli Studi di Napoli Federico II, Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1757-0037","affiliations":[{"raw_affiliation_string":"CSEF &amp; Universit\u00e0 degli Studi di Napoli Federico II, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016226552","display_name":"Lorenzo Magnolfi","orcid":"https://orcid.org/0000-0002-5657-9520"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lorenzo Magnolfi","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"raw_orcid":"https://orcid.org/0000-0002-5657-9520","affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081999044"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17682558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.8959000110626221,"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":0.8959000110626221,"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/T11674","display_name":"Sports Analytics and Performance","score":0.8564000129699707,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7624159455299377},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5882177948951721},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.579964816570282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5179054141044617},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.26640331745147705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1944763958454132}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7624159455299377},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5882177948951721},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.579964816570282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5179054141044617},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.26640331745147705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1944763958454132},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3736252.3742516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742516","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:RePEc:net:wpaper:2405","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"}],"best_oa_location":{"id":"doi:10.1145/3736252.3742516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742516","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7772387343","display_name":"Dynamic Mechanisms","funder_award_id":"714147","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8386707648","display_name":"Robust Mechanism Design and Robust Prediction in Games","funder_award_id":"714693","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334164","display_name":"Simons Institute for the Theory of Computing, University of California Berkeley","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411945874.pdf","grobid_xml":"https://content.openalex.org/works/W4411945874.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487"],"abstract_inverted_index":{"We":[0,77,91],"develop":[1],"a":[2,85],"method":[3,80],"to":[4,53,81],"recover":[5],"primitives":[6],"from":[7],"data":[8,83],"generated":[9],"by":[10],"artificial":[11],"intelligence":[12],"(AI)":[13],"agents":[14,36],"in":[15,84,101],"strategic":[16],"environments":[17],"such":[18],"as":[19],"online":[20,30],"marketplaces":[21],"and":[22,71,96],"auctions.":[23],"Building":[24],"on":[25,68],"the":[26,47,54,79],"design":[27],"of":[28,50,56,74],"leading":[29],"learning":[31],"AIs,":[32],"we":[33,44],"assume":[34],"that":[35,46],"minimize":[37],"their":[38],"regret.":[39],"Under":[40],"asymptotic":[41],"no":[42],"regret,":[43],"show":[45],"time":[48],"average":[49],"play":[51],"converges":[52],"set":[55],"Bayes":[57],"coarse":[58],"correlated":[59],"equilibrium":[60],"(BCCE)":[61],"predictions.":[62],"Our":[63],"econometric":[64],"procedure":[65],"is":[66],"based":[67],"BCCE":[69],"restrictions":[70],"convergence":[72],"rates":[73],"regret-minimizing":[75],"AIs.":[76],"apply":[78],"pricing":[82],"digital":[86],"marketplace":[87],"for":[88],"used":[89],"smartphones.":[90],"estimate":[92],"sellers'":[93],"cost":[94],"distributions":[95],"find":[97],"lower":[98],"markups":[99],"than":[100],"centralized":[102],"platforms.":[103]},"counts_by_year":[],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2025-10-10T00:00:00"}
