{"id":"https://openalex.org/W2899641455","doi":"https://doi.org/10.1609/aaai.v33i01.33011893","title":"Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice","display_name":"Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2899641455","doi":"https://doi.org/10.1609/aaai.v33i01.33011893","mag":"2899641455"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011893","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011893","pdf_url":"https://www.aaai.org/ojs/index.php/AAAI/article/download/4015/3893","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.aaai.org/ojs/index.php/AAAI/article/download/4015/3893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015652321","display_name":"Brandon Fain","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brandon Fain","raw_affiliation_strings":["Duke University","Duke University#TAB#"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748190","display_name":"Ashish Goel","orcid":"https://orcid.org/0000-0003-0938-0401"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish Goel","raw_affiliation_strings":["Stanford University","Stanford University ()"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047351951","display_name":"Kamesh Munagala","orcid":"https://orcid.org/0000-0003-2636-9650"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamesh Munagala","raw_affiliation_strings":["Duke University","Duke University#TAB#"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073847202","display_name":"Nina Prabhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152011","display_name":"North Carolina School of Science and Mathematics","ror":"https://ror.org/03zbydc22","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152011"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nina Prabhu","raw_affiliation_strings":["North Carolina School of Science and Mathematics"],"affiliations":[{"raw_affiliation_string":"North Carolina School of Science and Mathematics","institution_ids":["https://openalex.org/I4210152011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015652321"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":9.9293,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97609233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"01","first_page":"1893","last_page":"1900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9948999881744385,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/constant","display_name":"Constant (computer programming)","score":0.6904826164245605},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6841793060302734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.647489607334137},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48783352971076965},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4227890074253082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2532244324684143}],"concepts":[{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6904826164245605},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6841793060302734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.647489607334137},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48783352971076965},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4227890074253082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2532244324684143},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011893","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011893","pdf_url":"https://www.aaai.org/ojs/index.php/AAAI/article/download/4015/3893","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.04786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.04786","pdf_url":"https://arxiv.org/pdf/1811.04786","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2899641455","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1811.04786v3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1811.04786","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.04786","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011893","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011893","pdf_url":"https://www.aaai.org/ojs/index.php/AAAI/article/download/4015/3893","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1500313530","display_name":null,"funder_award_id":"N00014-15-1-2786","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3583460782","display_name":"AitF: Collaborative Research: Fair and Efficient Societal Decision Making via Collaborative Convex Optimization","funder_award_id":"1637418","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4929465500","display_name":null,"funder_award_id":"1637397","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5774808026","display_name":null,"funder_award_id":"IIS-1447554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7494066774","display_name":"AF: Medium: Collaborative Research: Multi-dimensional Scheduling and Resource Allocation in Data Centers","funder_award_id":"1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G759804249","display_name":null,"funder_award_id":"CCF-1637397","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7679193398","display_name":null,"funder_award_id":"CCF-1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7931865478","display_name":null,"funder_award_id":"4-15-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8302925103","display_name":"BIGDATA: F: DKA: Collaborative Research: Dealing Efficiently with Big Social Network Data","funder_award_id":"1447554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899641455.pdf","grobid_xml":"https://content.openalex.org/works/W2899641455.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1518547913","https://openalex.org/W1530616289","https://openalex.org/W1583132382","https://openalex.org/W2055121363","https://openalex.org/W2121751780","https://openalex.org/W2213997110","https://openalex.org/W2214482362","https://openalex.org/W2221730244","https://openalex.org/W2295870642","https://openalex.org/W2337207306","https://openalex.org/W2398408548","https://openalex.org/W2484162026","https://openalex.org/W2484891765","https://openalex.org/W2565314625","https://openalex.org/W2604757342","https://openalex.org/W2611689452","https://openalex.org/W2651767508","https://openalex.org/W2741002824","https://openalex.org/W2774336953","https://openalex.org/W2787389506","https://openalex.org/W2787993020","https://openalex.org/W2788412781","https://openalex.org/W2789227940","https://openalex.org/W2801070351","https://openalex.org/W2886307781","https://openalex.org/W2950313340","https://openalex.org/W2952081492","https://openalex.org/W2952444603","https://openalex.org/W2964027526","https://openalex.org/W6631080064","https://openalex.org/W6631712715","https://openalex.org/W6688945588","https://openalex.org/W6721819170","https://openalex.org/W6741820860","https://openalex.org/W6744404522"],"related_works":["https://openalex.org/W2952266467","https://openalex.org/W3198651821","https://openalex.org/W2987414108","https://openalex.org/W3212547410","https://openalex.org/W2146268012","https://openalex.org/W2343406609","https://openalex.org/W2436337942","https://openalex.org/W3200432867","https://openalex.org/W2221311665","https://openalex.org/W1635409103","https://openalex.org/W2487240329","https://openalex.org/W1758719104","https://openalex.org/W3099141078","https://openalex.org/W2769191660","https://openalex.org/W2534558652","https://openalex.org/W2797239359","https://openalex.org/W2950085543","https://openalex.org/W2290570034","https://openalex.org/W2399210510","https://openalex.org/W2054844093"],"abstract_inverted_index":{"We":[0,35,106,131,168],"study":[1],"social":[2,24,90],"choice":[3,91],"mechanisms":[4,220,235],"in":[5,163,242,252],"an":[6,27],"implicit":[7,254],"utilitarian":[8,255],"framework":[9],"with":[10,93,221],"a":[11,57,74,82,115,137,193],"metric":[12,186],"constraint,":[13],"where":[14],"the":[15,21,51,65,79,88,108,124,134,147,164,177,189,216,228,248,253],"goal":[16],"is":[17,73,87,140,161,212],"to":[18,31,118,223,244],"minimize":[19],"Distortion,":[20],"worst":[22],"case":[23],"cost":[25],"of":[26,60,64,67,76,78,81,126,136,151,166,179,218,231,247],"ordinal":[28,61],"mechanism":[29,52,92,109,143,206],"relative":[30],"underlying":[32],"cardinal":[33],"utilities.":[34],"consider":[36],"two":[37,120,127],"additional":[38],"desiderata:":[39],"Constant":[40,46],"sample":[41,47,95,233],"complexity":[42,48,96,234],"and":[43,69,97,211,237],"Squared":[44,71,99,158],"Distortion.":[45],"means":[49],"that":[50,122,133,144,160,171],"(potentially":[53],"randomized)":[54],"only":[55,145,175,199],"uses":[56,114],"constant":[58,94,98,104,154,232],"number":[59,66,165],"queries":[62,210],"regardless":[63],"voters":[68,152,241],"alternatives.":[70,167],"Distortion":[72,80,100,159,178],"measure":[75],"variance":[77],"randomized":[83],"mechanism.Our":[84],"primary":[85],"contribution":[86],"first":[89],"(which":[101],"also":[102,169],"implies":[103],"Distortion).":[105],"call":[107],"Random":[110,180,203],"Referee,":[111],"because":[112],"it":[113],"random":[116,129,240],"agent":[117],"compare":[119],"alternatives":[121,150],"are":[123],"favorites":[125],"other":[128],"agents.":[130],"prove":[132,170],"use":[135],"comparison":[138],"query":[139],"necessary:":[141],"no":[142],"elicits":[146],"top-k":[148,174],"preferred":[149],"(for":[153],"k)":[155],"can":[156],"have":[157],"sublinear":[162],"unlike":[172],"any":[173],"mechanism,":[176],"Referee":[181],"meaningfully":[182],"improves":[183],"on":[184],"benign":[185],"spaces,":[187],"using":[188],"Euclidean":[190],"plane":[191],"as":[192],"canonical":[194],"example.":[195],"Finally,":[196],"among":[197,215],"top-1":[198],"mechanisms,":[200],"we":[201,226],"introduce":[202],"Oligarchy.":[204],"The":[205],"asks":[207],"just":[208,238],"3":[209],"essentially":[213],"optimal":[214],"class":[217],"such":[219],"respect":[222],"Distortion.In":[224],"summary,":[225],"demonstrate":[227],"surprising":[229],"power":[230],"generally,":[236],"three":[239],"particular,":[243],"provide":[245],"some":[246],"best":[249],"known":[250],"results":[251],"framework.":[256]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}