{"id":"https://openalex.org/W4386075264","doi":"https://doi.org/10.1109/isit54713.2023.10206657","title":"On the Inevitability of the Rashomon Effect","display_name":"On the Inevitability of the Rashomon Effect","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386075264","doi":"https://doi.org/10.1109/isit54713.2023.10206657"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5092145397","display_name":"Lucas Monteiro Paes","orcid":"https://orcid.org/0000-0003-0129-1420"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lucas Monteiro Paes","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106223828","display_name":"Rodrigo Cruz Ch Cruz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodrigo Cruz","raw_affiliation_strings":["Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074697940","display_name":"Fl\u00e1vio P. Calmon","orcid":"https://orcid.org/0000-0002-7493-1428"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flavio P. Calmon","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064392614","display_name":"Mario D\u00edaz","orcid":"https://orcid.org/0000-0002-9321-9815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mario Diaz","raw_affiliation_strings":["Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional Aut&#x00F3;noma de M&#x00E9;xico","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092145397"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":0.6993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75570223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.994700014591217,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.994700014591217,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9941999912261963,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9940999746322632,"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/interpretability","display_name":"Interpretability","score":0.7848976254463196},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7659063935279846},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6341252326965332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505760669708252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39519983530044556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34909164905548096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05935239791870117}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7848976254463196},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7659063935279846},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6341252326965332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505760669708252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39519983530044556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34909164905548096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05935239791870117},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2036002592","https://openalex.org/W2084341220","https://openalex.org/W2106578604","https://openalex.org/W2137591261","https://openalex.org/W2488983277","https://openalex.org/W2972763980","https://openalex.org/W3024317845","https://openalex.org/W3100511085","https://openalex.org/W3137125108","https://openalex.org/W4251333191","https://openalex.org/W4283168572","https://openalex.org/W4287539058","https://openalex.org/W4296412277","https://openalex.org/W4307022249","https://openalex.org/W4307073254","https://openalex.org/W6725287276","https://openalex.org/W6768006745","https://openalex.org/W6788164578","https://openalex.org/W6803502139","https://openalex.org/W6809680140","https://openalex.org/W6843020732","https://openalex.org/W6846553139"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4386392971"],"abstract_inverted_index":{"The":[0,21,37],"Rashomon":[1,35,65,109,156,163,181],"effect":[2,164],"in":[3,83,107,154,188],"machine":[4],"learning":[5,19,45],"(ML)":[6],"occurs":[7],"when":[8],"multiple":[9],"distinct":[10],"models":[11,25,50,82,153,187],"achieve":[12],"similar":[13],"average":[14],"loss":[15,28],"on":[16],"a":[17,43,95,180],"given":[18,44],"task.":[20],"set":[22,41,66,85,110,134,157,182],"of":[23,39,70,120],"all":[24,71],"with":[26],"expected":[27],"smaller":[29],"than":[30,137],"\u03f5":[31,128,177],"is":[32,165],"called":[33],"the":[34,64,68,101,108,132,155,162],"set.":[36],"characterization":[38],"this":[40,84,91],"for":[42,49,117,126],"task":[46],"allows":[47],"searching":[48],"that":[51,81,125,178,184],"satisfy":[52],"additional":[53],"constraints":[54],"(e.g.,":[55],"interpretability,":[56],"fairness)":[57],"without":[58],"compromising":[59],"accuracy.":[60],"Though":[61],"folklore":[62],"treats":[63],"as":[67],"collection":[69],"indistinguishable":[72,160],"\"good\"":[73],"models,":[74],"there":[75],"are":[76,86,158,190],"no":[77],"established":[78],"theoretical":[79],"guarantees":[80],"statistically":[87,159],"indistinguishable.":[88,191],"We":[89],"fill":[90],"gap":[92],"by":[93],"proposing":[94],"hypothesis":[96],"test":[97],"framework":[98],"to":[99,174],"choose":[100,175],"best-performing":[102],"model":[103],"between":[104],"two":[105,186],"elements":[106],"and":[111,114,161],"derive":[112],"lower":[113],"upper":[115],"bounds":[116,169],"its":[118],"probability":[119],"error.":[121],"Specifically,":[122],"we":[123],"prove":[124],"any":[127,185],">":[129],"0":[130],"if":[131],"data":[133,172],"has":[135],"less":[136],"$O\\left(":[138],"{{{[\\varepsilon":[139],"{\\text{log}}\\left(":[140],"{\\varepsilon":[141],"/\\left(":[142],"{1":[143],"-":[144,149],"\\varepsilon":[145],"}":[146],"\\right)}":[147],"\\right)]}^{":[148],"1}}}":[150],"\\right)$":[151],"instances,":[152],"inevitable.":[166],"Additionally,":[167],"our":[168],"can":[170],"guide":[171],"scientists":[173],"an":[176],"generates":[179],"so":[183],"it":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
