{"id":"https://openalex.org/W3184952820","doi":"https://doi.org/10.1145/3465456.3467584","title":"Welfare-maximizing Guaranteed Dashboard Mechanisms","display_name":"Welfare-maximizing Guaranteed Dashboard Mechanisms","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3184952820","doi":"https://doi.org/10.1145/3465456.3467584","mag":"3184952820"},"language":"en","primary_location":{"id":"doi:10.1145/3465456.3467584","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3465456.3467584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd 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/A5013313391","display_name":"Yuan Deng","orcid":"https://orcid.org/0000-0002-6654-4049"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Deng","raw_affiliation_strings":["Google Research, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089749790","display_name":"Jason D. Hartline","orcid":"https://orcid.org/0000-0001-5505-6819"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Hartline","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091374832","display_name":"Jieming Mao","orcid":"https://orcid.org/0000-0001-8416-0172"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieming Mao","raw_affiliation_strings":["Google Research, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012130366","display_name":"Balasubramanian Sivan","orcid":"https://orcid.org/0000-0002-0188-7622"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balasubramanian Sivan","raw_affiliation_strings":["Google Research, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11991538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"370"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9786999821662903,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/bidding","display_name":"Bidding","score":0.810217022895813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986597776412964},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.6460363864898682},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6005846261978149},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.5869998931884766},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.5467416644096375},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.5127383470535278},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45422202348709106},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.4422224462032318},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4335746169090271},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.39262813329696655},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.31979086995124817},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.29561302065849304},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2526105046272278},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.12462440133094788},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.11535912752151489},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11227893829345703},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11186736822128296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10607793927192688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09126311540603638}],"concepts":[{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.810217022895813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986597776412964},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.6460363864898682},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6005846261978149},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.5869998931884766},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.5467416644096375},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.5127383470535278},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45422202348709106},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.4422224462032318},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4335746169090271},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39262813329696655},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.31979086995124817},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.29561302065849304},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2526105046272278},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.12462440133094788},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.11535912752151489},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11227893829345703},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11186736822128296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10607793927192688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09126311540603638},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3465456.3467584","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3465456.3467584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2355561715","https://openalex.org/W2355326491","https://openalex.org/W2389286292","https://openalex.org/W2360751371","https://openalex.org/W2387920521","https://openalex.org/W2389754756","https://openalex.org/W2382224273","https://openalex.org/W2373538886","https://openalex.org/W2360290312","https://openalex.org/W2393798951"],"abstract_inverted_index":{"Bidding":[0],"dashboards":[1],"are":[2,192],"used":[3,20],"in":[4,11,58,87,154,207,223,235,251,253,266],"online":[5,310],"marketplaces":[6],"to":[7,26,41,51,54,161,164,167,194,278,288,295,306],"aid":[8],"a":[9,37,49,59,61,145,208,226],"bidder":[10,38,50],"computing":[12],"good":[13,201],"bidding":[14],"strategies,":[15],"particularly":[16],"when":[17],"the":[18,22,28,35,55,72,81,84,88,104,126,155,176,221,233,239,249,256,272,283],"auction":[19,210],"by":[21,98],"marketplace":[23],"is":[24,142,150,159],"constrained":[25],"have":[27],"winners-pay-bid":[29,111],"payment":[30],"format.":[31],"A":[32],"dashboard":[33,62,89,107,187],"predicts":[34],"outcome":[36,85],"can":[39],"expect":[40],"get":[42],"at":[43,275],"each":[44,300],"possible":[45],"bid.":[46],"To":[47],"convince":[48,162],"best":[52,69,165],"respond":[53,166],"information":[56,168],"published":[57,86],"dashboard,":[60],"mechanism":[63,82,127],"should":[64],"ensure":[65],"either":[66],"(a)":[67],"that":[68,80,93,113,191],"responding":[70],"maximizes":[71],"bidder's":[73],"utility":[74,116],"(a":[75,90],"weaker":[76],"requirement)":[77],"or":[78],"(b)":[79],"implements":[83],"stronger":[91],"requirement":[92],"subsumes":[94],"(a)).":[95],"Recent":[96],"work":[97],"Hartline":[99],"et":[100],"al.":[101],"EC'19":[102],"formalized":[103],"notion":[105],"of":[106,120,175,179,220,228,255,264,301],"mechanisms":[108,112],"and":[109,199,216,261,282,309],"designed":[110],"guaranteed":[114,186,193],"epsilon-optimal":[115],"(an":[117],"epsilon-approximate":[118],"version":[119],"(a)),":[121],"but":[122],"not":[123],"(b).":[124],"I.e.,":[125],"could":[128,170],"end":[129],"up":[130,277],"implementing":[131],"arbitrarily":[132,172],"different":[133,246,297],"outcomes":[134],"from":[135,144,152],"what":[136,196],"was":[137],"promised.":[138],"While":[139],"this":[140,182,205],"guarantee":[141],"sufficient":[143],"purely":[146],"technical":[147],"perspective,":[148],"it":[149,158],"far":[151],"enough":[153],"real":[156],"world:":[157],"hard":[160],"bidders":[163],"which":[169],"be":[171],"inaccurate,":[173],"regardless":[174],"theoretical":[177],"promise":[178],"near-optimality.":[180],"In":[181,241],"paper":[183],"we":[184,243],"study":[185,204],"mechanisms,":[188],"namely,":[189],"ones":[190],"implement":[195],"they":[197],"publish,":[198],"obtain":[200],"welfare.":[202],"We":[203,293],"question":[206],"repeated":[209],"setting":[211],"for":[212,299],"general":[213,289],"single-dimensional":[214],"valuations":[215],"give":[217,244],"tight":[218],"characterizations":[219,273],"loss":[222,250],"welfare":[224,252],"as":[225],"function":[227],"natural":[229],"parameters":[230],"upper":[231],"bounding":[232,248],"difference":[234,265],"valuation":[236,267],"profile":[237,268],"across":[238,269],"rounds.":[240,270],"particular,":[242],"three":[245],"characterizations,":[247,303],"terms":[254],"0":[257],"norm,":[258],"1":[259],"norm":[260,263,285],"infinite":[262,284],"All":[271],"generalize":[274],"least":[276],"matroid":[279],"feasibility":[280,291],"constraints,":[281],"characterization":[286],"extends":[287],"downward-closed":[290],"constraints.":[292],"bring":[294],"bear":[296],"techniques":[298],"these":[302],"including":[304],"connections":[305],"differential":[307],"privacy":[308],"convex":[311],"optimizations.":[312]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}