{"id":"https://openalex.org/W3125205119","doi":"https://doi.org/10.1145/3391403.3399468","title":"Optimal Persuasion via Bi-Pooling","display_name":"Optimal Persuasion via Bi-Pooling","publication_year":2020,"publication_date":"2020-07-09","ids":{"openalex":"https://openalex.org/W3125205119","doi":"https://doi.org/10.1145/3391403.3399468","mag":"3125205119"},"language":"en","primary_location":{"id":"doi:10.1145/3391403.3399468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3391403.3399468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Economics and Computation","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/A5032453039","display_name":"Itai Arieli","orcid":"https://orcid.org/0000-0001-8663-5776"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Itai Arieli","raw_affiliation_strings":["Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063554414","display_name":"Yakov Babichenko","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yakov Babichenko","raw_affiliation_strings":["Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046418946","display_name":"Rann Smorodinsky","orcid":"https://orcid.org/0000-0001-7447-5605"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rann Smorodinsky","raw_affiliation_strings":["Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076087471","display_name":"Takuro Yamashita","orcid":"https://orcid.org/0000-0002-2008-8375"},"institutions":[{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Takuro Yamashita","raw_affiliation_strings":["University of Toulouse Capitole, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"University of Toulouse Capitole, Toulouse, France","institution_ids":["https://openalex.org/I3131550300"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032453039"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":1.8571,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87003951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8278281688690186},{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.7237560749053955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192145347595215},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.60845547914505},{"id":"https://openalex.org/keywords/communication-source","display_name":"Communication source","score":0.60460364818573},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5448747277259827},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5001754760742188},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.480229914188385},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4571714997291565},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4227887690067291},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4155113399028778},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37305641174316406},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.34428995847702026},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3329213857650757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26646536588668823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26306843757629395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09057697653770447}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8278281688690186},{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.7237560749053955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192145347595215},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.60845547914505},{"id":"https://openalex.org/C198104137","wikidata":"https://www.wikidata.org/wiki/Q974688","display_name":"Communication source","level":2,"score":0.60460364818573},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5448747277259827},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5001754760742188},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.480229914188385},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4571714997291565},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4227887690067291},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4155113399028778},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37305641174316406},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.34428995847702026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3329213857650757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26646536588668823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26306843757629395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09057697653770447},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3391403.3399468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3391403.3399468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G4267371216","display_name":null,"funder_award_id":"2018889","funder_id":"https://openalex.org/F4320320950","funder_display_name":"United States-Israel Binational Science Foundation"},{"id":"https://openalex.org/G4893588978","display_name":null,"funder_award_id":"714693","funder_id":"https://openalex.org/F4320338352","funder_display_name":"FP7 Ideas: European Research Council"},{"id":"https://openalex.org/G5170951787","display_name":null,"funder_award_id":"2016734 and 2026924","funder_id":"https://openalex.org/F4320320950","funder_display_name":"United States-Israel Binational Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320320950","display_name":"United States-Israel Binational Science Foundation","ror":"https://ror.org/00j8z2m73"},{"id":"https://openalex.org/F4320338352","display_name":"FP7 Ideas: European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3125048552"],"related_works":["https://openalex.org/W1193337282","https://openalex.org/W1662240627","https://openalex.org/W2161303371","https://openalex.org/W3169835994","https://openalex.org/W1546646725","https://openalex.org/W1974065322","https://openalex.org/W4288630086","https://openalex.org/W4285553224","https://openalex.org/W2491046942","https://openalex.org/W3121154558"],"abstract_inverted_index":{"The":[0,25,51,178],"canonical":[1],"Bayesian":[2],"persuasion":[3,124,142],"setting":[4,74,170],"studies":[5],"a":[6,29,45,132,141],"model":[7],"where":[8,75],"an":[9,20,80,127],"informed":[10],"agent,":[11,22],"the":[12,23,32,37,41,48,55,62,72,76,83,88,94,114,120,146,150,160,163],"Sender,":[13],"can":[14,181],"partially":[15],"share":[16],"his":[17],"information":[18,58,175],"with":[19],"uninformed":[21],"Receiver.":[24],"Receiver's":[26,38,49],"utility":[27],"is":[28,43,65,79,149],"function":[30,46,165],"of":[31,34,47,90,111,116,162],"state":[33,63,77],"nature":[35],"and":[36,93,171],"action":[39],"while":[40],"Sender's":[42,56],"only":[44],"action.":[50],"classical":[52],"results":[53],"characterize":[54],"optimal":[57,117,128,152,174],"disclosure":[59,176],"policy":[60],"whenever":[61],"space":[64,78],"finite.":[66],"In":[67],"this":[68,109,156,169],"paper":[69,180],"we":[70,100],"study":[71,159],"same":[73],"interval":[81],"on":[82],"real":[84],"line.":[85],"We":[86,106,154],"introduce":[87],"class":[89,110],"bi-pooling":[91,104,129,137],"policies":[92],"induced":[95],"distribution":[96,130,138,148],"over":[97],"posteriors":[98],"which":[99,145],"refer":[101],"to":[102,158,172],"as":[103,131],"distributions.":[105],"show":[107],"that":[108],"distributions":[112,118],"characterizes":[113],"set":[115],"in":[119,144,168],"aforementioned":[121],"setting.":[122],"Every":[123],"problem":[125,143],"admits":[126],"solution.":[133],"Conversely,":[134],"for":[135],"every":[136],"there":[139],"exists":[140],"given":[147],"unique":[151],"one.":[153],"leverage":[155],"result":[157],"structure":[161],"price":[164],"(see":[166],"[1])":[167],"identify":[173],"policies.":[177],"full":[179],"be":[182],"accessed":[183],"at":[184],"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3511516.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}