{"id":"https://openalex.org/W2909878761","doi":"https://doi.org/10.1145/3278721.3278764","title":"Meritocratic Fairness for Infinite and Contextual Bandits","display_name":"Meritocratic Fairness for Infinite and Contextual Bandits","publication_year":2018,"publication_date":"2018-12-27","ids":{"openalex":"https://openalex.org/W2909878761","doi":"https://doi.org/10.1145/3278721.3278764","mag":"2909878761"},"language":"en","primary_location":{"id":"doi:10.1145/3278721.3278764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3278721.3278764","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 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037449825","display_name":"Matthew Joseph","orcid":"https://orcid.org/0000-0003-2433-5270"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Joseph","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029730907","display_name":"Michael Kearns","orcid":"https://orcid.org/0000-0001-7569-0147"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Kearns","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045592180","display_name":"Jamie Morgenstern","orcid":"https://orcid.org/0000-0003-3753-8405"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Morgenstern","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035371128","display_name":"Seth Neel","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seth Neel","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057693522","display_name":"Aaron Roth","orcid":"https://orcid.org/0000-0002-0586-0515"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Roth","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","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/T12101","display_name":"Advanced Bandit Algorithms Research","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/T11182","display_name":"Auction Theory and Applications","score":0.9972000122070312,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/meritocracy","display_name":"Meritocracy","score":0.9237943887710571},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8792085647583008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624419450759888},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5260279774665833},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.44654515385627747},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.35756927728652954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31090646982192993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16380983591079712},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07100266218185425}],"concepts":[{"id":"https://openalex.org/C38377331","wikidata":"https://www.wikidata.org/wiki/Q178079","display_name":"Meritocracy","level":2,"score":0.9237943887710571},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8792085647583008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624419450759888},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5260279774665833},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.44654515385627747},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.35756927728652954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31090646982192993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16380983591079712},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07100266218185425},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3278721.3278764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3278721.3278764","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 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W50486269","https://openalex.org/W2057050711","https://openalex.org/W2100960835","https://openalex.org/W2108114251","https://openalex.org/W2119738618","https://openalex.org/W2125724988","https://openalex.org/W2396394641","https://openalex.org/W2524301210","https://openalex.org/W2540757487","https://openalex.org/W2584805976","https://openalex.org/W2808105152","https://openalex.org/W2962922665","https://openalex.org/W2964031043","https://openalex.org/W4289258088"],"related_works":["https://openalex.org/W1990443116","https://openalex.org/W4299139262","https://openalex.org/W3047348699","https://openalex.org/W2039692704","https://openalex.org/W4293754902","https://openalex.org/W4285593346","https://openalex.org/W4255731772","https://openalex.org/W2889721075","https://openalex.org/W3124114573","https://openalex.org/W2971351794"],"abstract_inverted_index":{"We":[0,50],"study":[1],"fairness":[2,13,57,86],"in":[3,58,87],"linear":[4,60,90],"bandit":[5,61],"problems.":[6],"Starting":[7],"from":[8],"the":[9,37,47,53,101,105],"notion":[10],"of":[11,23,41,56,104],"meritocratic":[12,85],"introduced":[14],"in~\\citeJKMR16,":[15],"we":[16],"carry":[17],"out":[18],"a":[19,24,82],"more":[20,25,95],"refined":[21],"analysis":[22],"general":[26],"problem,":[27],"achieving":[28],"better":[29],"performance":[30],"guarantees":[31],"with":[32],"fewer":[33],"modelling":[34],"assumptions":[35],"on":[36],"number":[38,48],"and":[39,98],"structure":[40],"available":[42],"choices":[43],"as":[44,46,68,70],"well":[45,69],"selected.":[49],"also":[51],"analyze":[52],"previously-unstudied":[54],"question":[55],"infinite":[59],"problems,":[62],"obtaining":[63],"instance-dependent":[64],"regret":[65],"upper":[66],"bounds":[67,72],"lower":[71],"demonstrating":[73],"that":[74,92],"this":[75],"instance-dependence":[76],"is":[77,81,93],"necessary.":[78],"The":[79],"result":[80],"framework":[83],"for":[84],"an":[88],"online":[89],"setting":[91],"substantially":[94],"powerful,":[96],"general,":[97],"realistic":[99],"than":[100],"current":[102],"state":[103],"art.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
