{"id":"https://openalex.org/W7141713956","doi":"https://doi.org/10.1007/s00224-026-10264-z","title":"Sampling and Optimal Preference Elicitation in Simple Mechanisms","display_name":"Sampling and Optimal Preference Elicitation in Simple Mechanisms","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7141713956","doi":"https://doi.org/10.1007/s00224-026-10264-z"},"language":"en","primary_location":{"id":"doi:10.1007/s00224-026-10264-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00224-026-10264-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00224-026-10264-z.pdf","source":{"id":"https://openalex.org/S4210177266","display_name":"Theory of Computing Systems","issn_l":"0025-5661","issn":["0025-5661","1432-4350","1433-0490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00224-026-10264-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057299811","display_name":"Ioannis Anagnostides","orcid":"https://orcid.org/0000-0002-8037-6360"},"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":true,"raw_author_name":"Ioannis Anagnostides","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021246308","display_name":"Dimitris Fotakis","orcid":"https://orcid.org/0000-0001-6864-8960"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Fotakis","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084616236","display_name":"Panagiotis Patsilinakos","orcid":null},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Panagiotis Patsilinakos","raw_affiliation_strings":["Paris Dauphine-PSL University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Dauphine-PSL University, Paris, France","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057299811"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2786006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.4350999891757965,"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":0.4350999891757965,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.37209999561309814,"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/T11031","display_name":"Game Theory and Applications","score":0.06800000369548798,"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/sampling","display_name":"Sampling (signal processing)","score":0.48669999837875366},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4629000127315521},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4410000145435333},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4244000017642975},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.39250001311302185},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.38839998841285706},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.3716000020503998},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.3686000108718872},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.36169999837875366}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48669999837875366},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48669999837875366},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.445499986410141},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43619999289512634},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C2781043087","wikidata":"https://www.wikidata.org/wiki/Q939761","display_name":"Preference theory","level":3,"score":0.3569999933242798},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.3384000062942505},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C141042865","wikidata":"https://www.wikidata.org/wiki/Q200125","display_name":"Expected value","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2993010571","wikidata":"https://www.wikidata.org/wiki/Q49908","display_name":"Probability sampling","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C189352744","wikidata":"https://www.wikidata.org/wiki/Q1971461","display_name":"Social choice theory","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C3020318244","wikidata":"https://www.wikidata.org/wiki/Q4812187","display_name":"Large sample","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C145242015","wikidata":"https://www.wikidata.org/wiki/Q774123","display_name":"Approximation theory","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00224-026-10264-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00224-026-10264-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00224-026-10264-z.pdf","source":{"id":"https://openalex.org/S4210177266","display_name":"Theory of Computing Systems","issn_l":"0025-5661","issn":["0025-5661","1432-4350","1433-0490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory of Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00224-026-10264-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00224-026-10264-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00224-026-10264-z.pdf","source":{"id":"https://openalex.org/S4210177266","display_name":"Theory of Computing Systems","issn_l":"0025-5661","issn":["0025-5661","1432-4350","1433-0490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory of Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3382089774","display_name":null,"funder_award_id":"HFRI-FM17-1424","funder_id":"https://openalex.org/F4320327859","funder_display_name":"Hellenic Foundation for Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7141713956.pdf","grobid_xml":"https://content.openalex.org/works/W7141713956.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1530616289","https://openalex.org/W1536918079","https://openalex.org/W1558004581","https://openalex.org/W1777846591","https://openalex.org/W1970301801","https://openalex.org/W1976386766","https://openalex.org/W1982670460","https://openalex.org/W1986130900","https://openalex.org/W1990378766","https://openalex.org/W2014607560","https://openalex.org/W2015007620","https://openalex.org/W2015071010","https://openalex.org/W2043715088","https://openalex.org/W2057067174","https://openalex.org/W2080061319","https://openalex.org/W2083397025","https://openalex.org/W2096178490","https://openalex.org/W2096423350","https://openalex.org/W2098521047","https://openalex.org/W2106107501","https://openalex.org/W2121751780","https://openalex.org/W2129678216","https://openalex.org/W2132979545","https://openalex.org/W2139721590","https://openalex.org/W2153285919","https://openalex.org/W2154896738","https://openalex.org/W2157645598","https://openalex.org/W2157735159","https://openalex.org/W2221730244","https://openalex.org/W2478210969","https://openalex.org/W2769478807","https://openalex.org/W2885668447","https://openalex.org/W2886307781","https://openalex.org/W2996766771","https://openalex.org/W2998138841","https://openalex.org/W2998708054","https://openalex.org/W3023615263","https://openalex.org/W3041740264","https://openalex.org/W3084102547","https://openalex.org/W3182331704","https://openalex.org/W3189670873","https://openalex.org/W4249659175","https://openalex.org/W4249667931","https://openalex.org/W4285602129","https://openalex.org/W4285605507","https://openalex.org/W7124139957","https://openalex.org/W7124148255"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1,179],"this":[2,180],"work":[3],"we":[4,21,128,153,165,182,225,279],"are":[5],"concerned":[6],"with":[7,82,161,190,244,309],"the":[8,18,23,85,90,95,115,144,151,173,218,232,252,260,271,327],"design":[9],"of":[10,25,50,89,117,132,147,172,175,194,262,273],"efficient":[11,246],"mechanisms":[12],"while":[13,114],"eliciting":[14],"limited":[15,310],"information":[16],"from":[17,135,150,203,333],"agents.":[19],"First,":[20],"study":[22,129],"performance":[24],"sampling":[26,303,335],"approximations":[27],"in":[28,71,234,259],"facility":[29],"location":[30],"games.":[31],"Our":[32,318],"key":[33],"result":[34],"is":[35,170,275,299],"to":[36,84,230,249,314],"show":[37,183],"that":[38,155,168,184,251,270,305],"for":[39,207],"any":[40,156,208,323],"$$\\epsilon":[41,209],">":[42,45,210,213],"0$$":[43,211],"\u03f5":[44,60,67,80,201,212],"0":[46,214],",":[47,107,113,215],"a":[48,73,130,139,223,227,276,302],"sample":[49],"size":[51],"$$c(\\epsilon":[52],")":[53,61,69,112],"=":[54,62],"\\varTheta":[55],"(1/\\epsilon":[56],"^2)$$":[57],"c":[58],"(":[59,64,104],"\u0398":[63],"1":[65,78,111,199],"/":[66],"2":[68],"yields":[70],"expectation":[72],"$$1":[74,195],"+":[75,79,196,200],"\\epsilon":[76,197],"$$":[77,122,198],"approximation":[81],"respect":[83],"optimal":[86,316],"social":[87],"cost":[88],"generalized":[91],"median":[92],"mechanism":[93,290],"on":[94,301,326],"metric":[96],"space":[97],"$$(\\mathbb":[98],"{R}^d,":[99],"\\Vert":[100,102],"\\cdot":[101],"_1)$$":[103],"R":[105],"d":[106],"\u2016":[108,110],"\u00b7":[109],"number":[116,146,174,272],"agents":[118,176],"$$n":[119],"\\rightarrow":[120],"\\infty":[121],"n":[123,177],"\u2192":[124],"\u221e":[125],".":[126,178],"Moreover,":[127],"series":[131],"exemplar":[133],"environments":[134],"auction":[136,284],"theory":[137],"through":[138,265],"communication":[140,193,254],"complexity":[141],"framework,":[142],"measuring":[143],"expected":[145,192],"bits":[148,202],"elicited":[149],"agents;":[152],"posit":[154],"valuation":[157],"can":[158,187,256],"be":[159,188,257],"expressed":[160],"k":[162,169],"bits,":[163],"and":[164,298,330],"mainly":[166,331],"assume":[167],"independent":[171],"context,":[181],"Vickrey\u2019s":[185],"rule":[186],"implemented":[189],"an":[191,204,235,245,281],"average":[205],"bidder,":[206],"asymptotically":[216,315],"matching":[217],"trivial":[219],"lower":[220],"bound.":[221],"As":[222],"corollary,":[224],"provide":[226],"compelling":[228],"method":[229],"increment":[231],"price":[233],"English":[236],"auction.":[237],"We":[238],"also":[239],"leverage":[240],"our":[241,289],"single-item":[242],"format":[243],"encoding":[247],"scheme":[248],"prove":[250],"same":[253],"bound":[255],"recovered":[258],"domain":[261],"additive":[263],"valuations":[264],"simultaneous":[266],"ascending":[267],"auctions,":[268],"assuming":[269],"items":[274],"constant.":[277],"Finally,":[278],"propose":[280],"ascending-type":[282],"multi-unit":[283],"under":[285],"unit":[286],"demand":[287],"bidders;":[288],"announces":[291],"at":[292],"every":[293],"round":[294],"two":[295],"separate":[296],"prices":[297],"based":[300],"algorithm":[304],"performs":[306],"approximate":[307],"selection":[308],"communication,":[311],"leading":[312],"again":[313],"communication.":[317],"results":[319],"do":[320],"not":[321],"require":[322],"prior":[324],"knowledge":[325],"agents\u2019":[328],"valuations,":[329],"follow":[332],"natural":[334],"techniques.":[336]},"counts_by_year":[],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2026-03-28T00:00:00"}
