{"id":"https://openalex.org/W4407355809","doi":"https://doi.org/10.1145/3709725","title":"Shapley Value Estimation based on Differential Matrix","display_name":"Shapley Value Estimation based on Differential Matrix","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407355809","doi":"https://doi.org/10.1145/3709725"},"language":"en","primary_location":{"id":"doi:10.1145/3709725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3709725","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-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/A5113233607","display_name":"Junyuan Pang","orcid":"https://orcid.org/0009-0004-2653-2811"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyuan Pang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062247330","display_name":"Jian Pei","orcid":"https://orcid.org/0000-0002-2200-8711"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Pei","raw_affiliation_strings":["Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102598008","display_name":"Haocheng Xia","orcid":"https://orcid.org/0000-0002-8317-6217"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haocheng Xia","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092595518","display_name":"Xiang Li","orcid":"https://orcid.org/0009-0000-6633-6883"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019369952","display_name":"Jinfei Liu","orcid":"https://orcid.org/0000-0003-2921-2827"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfei Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113233607"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89440721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9463000297546387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9463000297546387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9430000185966492,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9359999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/shapley-value","display_name":"Shapley value","score":0.5919094085693359},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5310077667236328},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49843597412109375},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.48129668831825256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.477090448141098},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.47110798954963684},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4154323637485504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32697853446006775},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32054561376571655},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3148130178451538},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2634578347206116},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24922001361846924},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14293375611305237},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.09471637010574341},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08890020847320557}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.5919094085693359},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5310077667236328},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49843597412109375},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.48129668831825256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.477090448141098},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.47110798954963684},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4154323637485504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32697853446006775},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32054561376571655},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3148130178451538},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2634578347206116},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24922001361846924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14293375611305237},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.09471637010574341},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08890020847320557},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3709725","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3709725","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W2046116913","https://openalex.org/W2073231946","https://openalex.org/W2080988078","https://openalex.org/W2103012681","https://openalex.org/W2487898712","https://openalex.org/W2560674852","https://openalex.org/W2583836055","https://openalex.org/W2912193172","https://openalex.org/W2948176562","https://openalex.org/W2948279890","https://openalex.org/W2964210282","https://openalex.org/W2970773487","https://openalex.org/W3008477738","https://openalex.org/W3014022647","https://openalex.org/W3032533205","https://openalex.org/W3036159281","https://openalex.org/W3084987877","https://openalex.org/W3123374528","https://openalex.org/W3145740377","https://openalex.org/W3157730516","https://openalex.org/W3174982674","https://openalex.org/W3175042864","https://openalex.org/W3177490101","https://openalex.org/W3196792859","https://openalex.org/W4210394408","https://openalex.org/W4213153339","https://openalex.org/W4221144063","https://openalex.org/W4233413206","https://openalex.org/W4241832412","https://openalex.org/W4281885917","https://openalex.org/W4282581822","https://openalex.org/W4286971399","https://openalex.org/W4287200665","https://openalex.org/W4288057686","https://openalex.org/W4289533954","https://openalex.org/W4289533960","https://openalex.org/W4289546290","https://openalex.org/W4289785654","https://openalex.org/W4364389029","https://openalex.org/W4372267129","https://openalex.org/W4379390538","https://openalex.org/W4380433173","https://openalex.org/W4381487026","https://openalex.org/W4385270224","https://openalex.org/W4385270587","https://openalex.org/W4385286859","https://openalex.org/W4385565493","https://openalex.org/W4385768361","https://openalex.org/W4386128215","https://openalex.org/W4386768483","https://openalex.org/W4386768649","https://openalex.org/W4388585421","https://openalex.org/W4391623923","https://openalex.org/W4393156507","https://openalex.org/W4393212300","https://openalex.org/W4396601728","https://openalex.org/W4396892701","https://openalex.org/W4396893071","https://openalex.org/W4396893088","https://openalex.org/W4398234128","https://openalex.org/W4399163425","https://openalex.org/W4399209902","https://openalex.org/W6944880721","https://openalex.org/W6964138771","https://openalex.org/W6964248249","https://openalex.org/W6967145133"],"related_works":["https://openalex.org/W2803105815","https://openalex.org/W1995780029","https://openalex.org/W1584952351","https://openalex.org/W2803150505","https://openalex.org/W2042580993","https://openalex.org/W2952811515","https://openalex.org/W2259808229","https://openalex.org/W2289231326","https://openalex.org/W2611507364","https://openalex.org/W2511887768"],"abstract_inverted_index":{"The":[0,50],"Shapley":[1,27,47,55,67,84,94,105],"value":[2,48,85],"has":[3],"been":[4,38],"extensively":[5],"used":[6],"in":[7,19,31],"many":[8,35],"fields":[9],"as":[10],"the":[11,23,32,42,54,66,71,89,92,104,108,112,126,150,155],"unique":[12],"metric":[13],"to":[14,40,87,102],"fairly":[15],"evaluate":[16],"player":[17],"contributions":[18],"cooperative":[20],"settings.":[21],"Since":[22],"exact":[24],"computation":[25],"of":[26,82,91,125,154],"values":[28,56,68,106],"is":[29],"\\#P-hard":[30],"task-agnostic":[33],"setting,":[34],"studies":[36],"have":[37],"developed":[39],"utilize":[41],"Monte":[43,119,133],"Carlo":[44,120,134],"method":[45,121],"for":[46,122,136],"estimation.":[49],"existing":[51],"methods":[52,135],"estimate":[53,77],"directly.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,76,116],"explore":[62],"a":[63,78,98,118],"novel":[64],"idea-inferring":[65],"by":[69],"estimating":[70],"differences":[72,86],"between":[73],"them.":[74],"Technically,":[75],"differential":[79,109,127],"matrix":[80,128],"consisting":[81],"pairwise":[83],"reduce":[88],"variance":[90,138],"estimated":[93],"values.":[95],"We":[96],"develop":[97],"least-squares":[99],"optimization":[100],"solution":[101],"derive":[103],"from":[107],"matrix,":[110],"minimizing":[111],"estimator":[113],"variances.":[114],"Additionally,":[115],"devise":[117],"efficient":[123],"estimation":[124],"and":[129,145,152],"introduce":[130],"two":[131],"stratified":[132],"further":[137],"reduction.":[139],"Our":[140],"experimental":[141],"results":[142],"on":[143],"real":[144],"synthetic":[146],"data":[147],"sets":[148],"demonstrate":[149],"effectiveness":[151],"efficiency":[153],"differential-matrix-based":[156],"sampling":[157],"approaches.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}