{"id":"https://openalex.org/W4383557883","doi":"https://doi.org/10.1145/3580507.3597772","title":"Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions","display_name":"Liquid Welfare Guarantees for No-Regret Learning in Sequential Budgeted Auctions","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383557883","doi":"https://doi.org/10.1145/3580507.3597772"},"language":"en","primary_location":{"id":"doi:10.1145/3580507.3597772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th 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/A5067076063","display_name":"Giannis Fikioris","orcid":"https://orcid.org/0000-0002-4920-478X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Giannis Fikioris","raw_affiliation_strings":["Computer Science, Cornell University, Ithaca, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-4920-478X","affiliations":[{"raw_affiliation_string":"Computer Science, Cornell University, Ithaca, New York, United States of America","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025175846","display_name":"\u00c9va Tardos","orcid":"https://orcid.org/0000-0002-2978-1475"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eva Tardos","raw_affiliation_strings":["Computer Science, Cornell University, Ithaca, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-2978-1475","affiliations":[{"raw_affiliation_string":"Computer Science, Cornell University, Ithaca, New York, United States of America","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067076063"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.4793,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83387631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"678","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9943000078201294,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.8195847272872925},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.6638851761817932},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6560254096984863},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6222196817398071},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5211696624755859},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.48882219195365906},{"id":"https://openalex.org/keywords/welfare","display_name":"Welfare","score":0.4818876385688782},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4345044195652008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29418885707855225}],"concepts":[{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.8195847272872925},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.6638851761817932},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6560254096984863},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6222196817398071},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5211696624755859},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.48882219195365906},{"id":"https://openalex.org/C100243477","wikidata":"https://www.wikidata.org/wiki/Q12002092","display_name":"Welfare","level":2,"score":0.4818876385688782},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4345044195652008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29418885707855225},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580507.3597772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G2581926717","display_name":null,"funder_award_id":"1408673","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2660000986","display_name":null,"funder_award_id":"FA9550-19-1-0183 and FA9550-23-1-0068","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G302362212","display_name":null,"funder_award_id":"FA9550-19-1-0183","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G4759414380","display_name":null,"funder_award_id":"FA9550-23-1-0068","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G7495050334","display_name":null,"funder_award_id":"CCF-1408673","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320323220","display_name":"Alexander S. Onassis Public Benefit Foundation","ror":"https://ror.org/017nq0d63"},{"id":"https://openalex.org/F4320333566","display_name":"National Defense Science and Engineering Graduate","ror":null},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1487301434","https://openalex.org/W2110005947","https://openalex.org/W2115276154","https://openalex.org/W2607030896","https://openalex.org/W2892075429","https://openalex.org/W2900815752","https://openalex.org/W2963545891","https://openalex.org/W2964300220","https://openalex.org/W2971977212","https://openalex.org/W2990583325","https://openalex.org/W3110953084","https://openalex.org/W3133818088","https://openalex.org/W3164010067","https://openalex.org/W3175318851","https://openalex.org/W3176913318","https://openalex.org/W3205019751","https://openalex.org/W3210494900","https://openalex.org/W4206275166","https://openalex.org/W4280628108","https://openalex.org/W4285070176","https://openalex.org/W4285089259","https://openalex.org/W4285396569","https://openalex.org/W4318902959","https://openalex.org/W4322760412"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"We":[0,12,43,150],"study":[1],"the":[2,38,49,56,72,80,125,134,140,158,163,175],"liquid":[3,27,101,127,136,159],"welfare":[4,36,102,128,160],"in":[5,22,112,166],"sequential":[6,116],"first-price":[7,15,167],"auctions":[8],"with":[9,79,121],"budget-limited":[10],"buyers.":[11,42],"focus":[13],"on":[14,157],"auctions,":[16,118,168],"which":[17],"are":[18],"increasingly":[19],"commonly":[20],"used":[21],"many":[23],"settings,":[24],"and":[25,31],"consider":[26],"welfare,":[28,137],"a":[29,45,52,64,91,146,152,184,196],"natural":[30],"well-studied":[32],"generalization":[33],"of":[34,40,59,71,98,155,186,199],"social":[35],"for":[37,48,100,201],"case":[39,176],"budget-constrained":[41],"use":[44],"behavioral":[46],"model":[47],"buyers,":[50],"assuming":[51,103],"learning":[53],"style":[54],"guarantee:":[55],"resulting":[57,126],"utility":[58,73],"each":[60,84],"buyer":[61],"is":[62,111,191],"within":[63],"\u03b3":[65,68,92,122,156,178],"factor":[66,82],"(where":[67],"\u2265":[69],"1)":[70],"achievable":[74],"by":[75,145],"shading":[76,148],"her":[77],"value":[78],"same":[81],"at":[83],"iteration.":[85],"Under":[86],"this":[87],"assumption,":[88],"we":[89,194],"show":[90,195],"+":[93,95],"1/2":[94],"O(1/\u03b3)":[96],"price":[97,185],"anarchy":[99,187],"buyers":[104],"have":[105],"additive":[106],"valuations.":[107],"This":[108],"positive":[109],"result":[110],"stark":[113],"contrast":[114],"to":[115],"second-price":[117],"where":[119],"even":[120,138],"=":[123,179],"1,":[124],"can":[129,142],"be":[130,143],"arbitrarily":[131],"smaller":[132],"than":[133],"maximum":[135],"though":[139],"latter":[141],"achieved":[144],"constant":[147],"factor.":[149],"prove":[151],"lower":[153,197],"bound":[154,171,189,198],"loss":[161],"under":[162],"above":[164],"assumption":[165],"making":[169],"our":[170,181],"asymptotically":[172],"tight.":[173],"For":[174],"when":[177],"1":[180],"theorem":[182],"implies":[183],"upper":[188],"that":[190,202],"about":[192],"2.41;":[193],"2":[200],"case.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}