{"id":"https://openalex.org/W2619869737","doi":"https://doi.org/10.24963/ijcai.2017/35","title":"Near-Feasible Stable Matchings with Budget Constraints","display_name":"Near-Feasible Stable Matchings with Budget Constraints","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2619869737","doi":"https://doi.org/10.24963/ijcai.2017/35","mag":"2619869737"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/35","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/35","pdf_url":"https://www.ijcai.org/proceedings/2017/0035.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0035.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025634820","display_name":"Yasushi Kawase","orcid":"https://orcid.org/0000-0001-5626-779X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Kawase","raw_affiliation_strings":["RIKEN AIP Center","Tokyo Institute of Technology","Tokyo Institute of Technology and RIKEN AIP Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN AIP Center","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology and RIKEN AIP Center, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072457551","display_name":"Atsushi Iwasaki","orcid":"https://orcid.org/0000-0003-0326-4303"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Iwasaki","raw_affiliation_strings":["RIKEN AIP Center","University of Electro-Communications","University of Electro-Communications and RIKEN AIP Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN AIP Center","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"University of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications and RIKEN AIP Center, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6395,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.98663533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"242","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9941999912261963,"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":0.9624999761581421,"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/budget-constraint","display_name":"Budget constraint","score":0.7985519766807556},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7154197096824646},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.6631022691726685},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.5503978133201599},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5396959185600281},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5186119079589844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5171922445297241},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.37921178340911865},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3595890402793884},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.30014747381210327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2111968696117401},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.05651766061782837},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.055030763149261475}],"concepts":[{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.7985519766807556},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7154197096824646},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.6631022691726685},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.5503978133201599},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5396959185600281},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5186119079589844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171922445297241},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.37921178340911865},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3595890402793884},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.30014747381210327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2111968696117401},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.05651766061782837},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.055030763149261475},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2017/35","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/35","pdf_url":"https://www.ijcai.org/proceedings/2017/0035.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1705.07643","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.07643","pdf_url":"https://arxiv.org/pdf/1705.07643","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":null,"raw_type":"text"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50371423","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100743806","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/35","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/35","pdf_url":"https://www.ijcai.org/proceedings/2017/0035.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1850960190","display_name":"Toward a quantitative theory for evaluating game-theoretic resource allocation mechanisms","funder_award_id":"17H01787","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2636364967","display_name":"Development of online algorithms with theoretical guarantees for both average and worst case performance","funder_award_id":"16K16005","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2619869737.pdf","grobid_xml":"https://content.openalex.org/works/W2619869737.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W130885469","https://openalex.org/W1535764483","https://openalex.org/W1542154458","https://openalex.org/W1553967778","https://openalex.org/W1846071202","https://openalex.org/W1946154213","https://openalex.org/W1974643751","https://openalex.org/W1978256120","https://openalex.org/W1990764606","https://openalex.org/W2031666601","https://openalex.org/W2044621860","https://openalex.org/W2054731762","https://openalex.org/W2060322444","https://openalex.org/W2060580529","https://openalex.org/W2096375861","https://openalex.org/W2110013180","https://openalex.org/W2116188555","https://openalex.org/W2142258167","https://openalex.org/W2143529993","https://openalex.org/W2158486621","https://openalex.org/W2185180717","https://openalex.org/W2189755050","https://openalex.org/W2217441737","https://openalex.org/W2267973903","https://openalex.org/W2280742990","https://openalex.org/W2494900181","https://openalex.org/W2582892330","https://openalex.org/W2616078394","https://openalex.org/W2619869737","https://openalex.org/W2620783639","https://openalex.org/W2808294544","https://openalex.org/W2945004604","https://openalex.org/W3124371033"],"related_works":["https://openalex.org/W2037220323","https://openalex.org/W83893804","https://openalex.org/W2178649091","https://openalex.org/W2353238953","https://openalex.org/W2496037054","https://openalex.org/W2024895661","https://openalex.org/W2390883384","https://openalex.org/W2054108430","https://openalex.org/W3123594720","https://openalex.org/W2070532531"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,6,100,110,150],"two-sided":[4],"matching":[5,146],"budget":[7,84,126],"constraints":[8],"where":[9],"one":[10],"side":[11],"(firm":[12],"or":[13,25],"hospital)":[14],"can":[15,34],"make":[16],"monetary":[17],"transfers":[18],"(offer":[19],"wages)":[20],"to":[21,37,52,79,90,152],"the":[22,47,70,94,101,108,128,153,171],"other":[23],"(worker":[24],"doctor).":[26],"In":[27,60,162],"a":[28,38,41,44,53,57,63,67,131,144],"standard":[29],"model,":[30,62],"while":[31],"multiple":[32],"doctors":[33,50,80],"be":[35],"matched":[36],"single":[39],"hospital,":[40],"hospital":[42,54,64,78],"has":[43,66],"maximum":[45],"quota:":[46],"number":[48],"of":[49,73,103,127,156],"assigned":[51],"cannot":[55],"exceed":[56],"certain":[58,132],"limit.":[59],"our":[61,167],"instead":[65],"fixed":[68],"budget:":[69],"total":[71],"amount":[72,155],"wages":[74,157],"allocated":[75,158],"by":[76,113,130,159,164],"each":[77,125,160],"is":[81,96,148],"constrained.":[82],"With":[83],"constraints,":[85],"stable":[86,104,149],"matchings":[87,122],"may":[88],"fail":[89],"exist":[91],"and":[92,115],"checking":[93],"existence":[95],"hard.":[97],"To":[98],"deal":[99],"nonexistence":[102],"matchings,":[105],"we":[106],"extend":[107],"\u201cmatching":[109],"contracts\u201d":[111],"model":[112],"Hatfield":[114],"Milgrom,":[116],"so":[117],"that":[118,123,140,147],"it":[119],"handles":[120],"near-feasible":[121,145],"exceeds":[124],"hospitals":[129],"amount.":[133],"We":[134],"then":[135],"propose":[136],"two":[137],"novel":[138],"mechanisms":[139],"efficiently":[141],"return":[142],"such":[143],"respect":[151],"actual":[154],"hospital.":[161],"particular,":[163],"sacrificing":[165],"strategy-proofness,":[166],"second":[168],"mechanism":[169],"achieves":[170],"best":[172],"possible":[173],"bound.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-09T07:52:08.696243","created_date":"2025-10-10T00:00:00"}
