{"id":"https://openalex.org/W2809729766","doi":"https://doi.org/10.1145/3219166.3219179","title":"How to Make Envy Vanish Over Time","display_name":"How to Make Envy Vanish Over Time","publication_year":2018,"publication_date":"2018-06-11","ids":{"openalex":"https://openalex.org/W2809729766","doi":"https://doi.org/10.1145/3219166.3219179","mag":"2809729766"},"language":"en","primary_location":{"id":"doi:10.1145/3219166.3219179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219166.3219179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219166.3219179","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3219166.3219179","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010513899","display_name":"Gerdus Benad\u00e8","orcid":"https://orcid.org/0000-0002-0024-0026"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerdus Benade","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025774365","display_name":"Aleksandr M. Kazachkov","orcid":"https://orcid.org/0000-0002-4949-9565"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandr M. Kazachkov","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041089506","display_name":"Ariel D. Procaccia","orcid":"https://orcid.org/0000-0002-8774-5827"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ariel D. Procaccia","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055020244","display_name":"Alexandros Psomas","orcid":"https://orcid.org/0000-0002-7709-5058"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos-Alexandros Psomas","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":9.99,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.98532791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T12288","display_name":"Optimization and Search Problems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.998199999332428,"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/infinity","display_name":"Infinity","score":0.7431044578552246},{"id":"https://openalex.org/keywords/fair-division","display_name":"Fair division","score":0.6977185010910034},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.6445725560188293},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5794875621795654},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.528385579586029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4969971477985382},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4926159977912903},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4922882616519928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4761902391910553},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4621942639350891},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.45594489574432373},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.4494086802005768},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.42711037397384644},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36811262369155884},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.22899597883224487},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1563204526901245}],"concepts":[{"id":"https://openalex.org/C7321624","wikidata":"https://www.wikidata.org/wiki/Q205","display_name":"Infinity","level":2,"score":0.7431044578552246},{"id":"https://openalex.org/C184659173","wikidata":"https://www.wikidata.org/wiki/Q1511081","display_name":"Fair division","level":2,"score":0.6977185010910034},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.6445725560188293},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5794875621795654},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.528385579586029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4969971477985382},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4926159977912903},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4922882616519928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4761902391910553},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4621942639350891},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.45594489574432373},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.4494086802005768},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.42711037397384644},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36811262369155884},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.22899597883224487},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1563204526901245},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3219166.3219179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219166.3219179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219166.3219179","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3219166.3219179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3219166.3219179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3219166.3219179","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1283689559","display_name":null,"funder_award_id":"N00014-17-1-2428","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2213874378","display_name":null,"funder_award_id":"CCF-1525932","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3210239158","display_name":"AF: Small: Fair Division at Scale","funder_award_id":"1525932","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3426253292","display_name":null,"funder_award_id":"N00014-16-1-3075 and N00014-17-1-2428","funder_id":"https://openalex.org/F4320338298","funder_display_name":"Office of Naval Research Global"},{"id":"https://openalex.org/G3747561669","display_name":"CAREER: A Broad Synthesis of Artificial Intelligence and Social Choice","funder_award_id":"1350598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3773466503","display_name":"RI: Small: Computational Social Choice: For the People","funder_award_id":"1714140","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5211587205","display_name":"AitF: Algorithms and Mechanisms for Kidney Exchange","funder_award_id":"1733556","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6047231453","display_name":null,"funder_award_id":"IIS-1350598, IIS-1714140, CCF-1525932, and CCF-1733556","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6945895031","display_name":null,"funder_award_id":"N00014-16-1-3075","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7324853821","display_name":null,"funder_award_id":"IIS-1350598","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8036421552","display_name":null,"funder_award_id":"IIS-1714140","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320308774","display_name":"John Simon Guggenheim Memorial Foundation","ror":"https://ror.org/0407tnq23"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338298","display_name":"Office of Naval Research Global","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2809729766.pdf","grobid_xml":"https://content.openalex.org/works/W2809729766.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W65938301","https://openalex.org/W243342323","https://openalex.org/W1182014237","https://openalex.org/W1981973022","https://openalex.org/W1997961920","https://openalex.org/W2010531033","https://openalex.org/W2022749618","https://openalex.org/W2049934117","https://openalex.org/W2056760235","https://openalex.org/W2121240598","https://openalex.org/W2131012922","https://openalex.org/W2139264436","https://openalex.org/W2155053108","https://openalex.org/W2346164124","https://openalex.org/W2608239929","https://openalex.org/W2629221296","https://openalex.org/W2742013989","https://openalex.org/W2769880400","https://openalex.org/W2950929549","https://openalex.org/W3005368569","https://openalex.org/W3011766368","https://openalex.org/W3015153545","https://openalex.org/W3016978136","https://openalex.org/W4213304835","https://openalex.org/W4236082126","https://openalex.org/W4246657866","https://openalex.org/W4296288933"],"related_works":["https://openalex.org/W2306553012","https://openalex.org/W4251417359","https://openalex.org/W4229993731","https://openalex.org/W2381059884","https://openalex.org/W2372756075","https://openalex.org/W1979193983","https://openalex.org/W2086365412","https://openalex.org/W3132096191","https://openalex.org/W2049627958","https://openalex.org/W4287325411"],"abstract_inverted_index":{"We":[0,73,97,119],"study":[1],"the":[2,34,46,56,82],"dynamic":[3],"fair":[4],"division":[5],"of":[6,22,26,84],"indivisible":[7],"goods.":[8],"Suppose":[9],"T":[10,51,93,124],"items":[11,65,133],"arrive":[12,134],"online":[13],"and":[14,70,111],"must":[15],"be":[16],"allocated":[17,66],"upon":[18],"arrival":[19],"to":[20,40,67,71,90,95],"one":[21],"n":[23],"agents,":[24],"each":[25],"whom":[27],"has":[28,78],"a":[29,99,128],"value":[30,63],"in":[31,135],"[0,1]":[32],"for":[33,64,127],"current":[35],"item.":[36],"Our":[37],"goal":[38],"is":[39,116],"design":[41,98],"allocation":[42],"algorithms":[43],"that":[44,75,103,113],"minimize":[45],"maximum":[47,57],"envy":[48,80,85],"at":[49],"time":[50],",":[52],"ENVYT,":[53],"defined":[54],"as":[55,92],"difference":[58],"between":[59],"any":[60],"agent's":[61],"overall":[62],"another":[68],"agent":[69],"herself.":[72],"say":[74],"an":[76],"algorithm":[77,102],"vanishing":[79],"if":[81],"ratio":[83],"over":[86],"time,":[87],"ENVYT/T,":[88],"goes":[89,94],"zero":[91],"infinity.":[96],"polynomial-time,":[100],"deterministic":[101],"achieves":[104],"ENVYT":[105],"\u0131n":[106],"~O":[107],"(":[108],"\u221aT/n":[109],"),":[110],"show":[112],"this":[114],"guarantee":[115],"asymptotically":[117],"optimal.":[118],"also":[120],"derive":[121],"tight":[122],"(in":[123],")":[125],"bounds":[126],"more":[129],"general":[130],"setting":[131],"where":[132],"batches.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}