{"id":"https://openalex.org/W4415427659","doi":"https://doi.org/10.3233/faia251422","title":"An Evidence-Theoretic Framework for Online Learning from Expert Advice","display_name":"An Evidence-Theoretic Framework for Online Learning from Expert Advice","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415427659","doi":"https://doi.org/10.3233/faia251422"},"language":"en","primary_location":{"id":"doi:10.3233/faia251422","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251422","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251422","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045931370","display_name":"Andrea Campagner","orcid":"https://orcid.org/0000-0002-0027-5157"},"institutions":[{"id":"https://openalex.org/I4210102377","display_name":"Istituto Clinico Sant'Ambrogio","ror":"https://ror.org/00r7hs904","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210102377"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Campagner","raw_affiliation_strings":["IRCCS Ospedale Galeazzi Sant\u2019Ambrogio, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0027-5157","affiliations":[{"raw_affiliation_string":"IRCCS Ospedale Galeazzi Sant\u2019Ambrogio, Milan, Italy","institution_ids":["https://openalex.org/I4210102377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120092043","display_name":"Francesca Arredondo","orcid":null},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Arredondo","raw_affiliation_strings":["University of Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075449623","display_name":"Davide Ciucci","orcid":"https://orcid.org/0000-0002-8083-7809"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Ciucci","raw_affiliation_strings":["University of Milano-Bicocca, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8083-7809","affiliations":[{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023849668","display_name":"Federico Cabitza","orcid":"https://orcid.org/0000-0002-4065-3415"},"institutions":[{"id":"https://openalex.org/I4210102377","display_name":"Istituto Clinico Sant'Ambrogio","ror":"https://ror.org/00r7hs904","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210102377"]},{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Cabitza","raw_affiliation_strings":["IRCCS Ospedale Galeazzi Sant\u2019Ambrogio, Milan, Italy","University of Milano-Bicocca, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4065-3415","affiliations":[{"raw_affiliation_string":"IRCCS Ospedale Galeazzi Sant\u2019Ambrogio, Milan, Italy","institution_ids":["https://openalex.org/I4210102377"]},{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.49520353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.5821999907493591,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.5821999907493591,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11675","display_name":"Open Source Software Innovations","score":0.5722000002861023,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11058","display_name":"Ethics in Business and Education","score":0.5472000241279602,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7799000144004822},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6157000064849854},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.5928999781608582},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5703999996185303},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.5245000123977661},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46970000863075256},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.40149998664855957}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7799000144004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721000075340271},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6157000064849854},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.5928999781608582},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5703999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498999953269958},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35659998655319214},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia251422","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251422","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:boa.unimib.it:10281/583862","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/583862","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3233/faia251422","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251422","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,32,55,60,101,131,152,204],"belief":[3,113],"function":[4,114],"theory":[5,115],"(BFT)":[6,116],"in":[7,21,38,48,195],"machine":[8],"learning":[9,68,197],"has":[10,26],"gained":[11],"attention":[12],"as":[13,117,141,149],"researchers":[14],"seek":[15],"more":[16],"principled":[17],"foundations":[18],"for":[19,44,121],"decision-making":[20],"uncertain":[22],"environments.":[23],"However,":[24],"research":[25],"mostly":[27],"focused":[28],"on":[29,83],"the":[30,45,49,53,58,98,200],"setting":[31,59],"batch":[33],"learning.":[34,63],"In":[35],"this":[36,65,109],"article,":[37],"contrast":[39],"and":[40,86,94,128,143,163,170],"to":[41,57,206],"our":[42],"knowledge":[43],"first":[46],"time":[47],"literature,":[50],"we":[51,124],"study":[52,93],"application":[54],"BFT":[56,132,169,205],"online":[61,67,196],"(machine)":[62],"Within":[64],"context,":[66],"from":[69],"expert":[70],"advice":[71],"(LEA)":[72],"offers":[73],"a":[74,118,126,192],"framework":[75],"where":[76],"learners":[77],"iteratively":[78],"update":[79],"their":[80],"predictions":[81],"based":[82],"experts\u2019":[84],"input":[85],"(adversarially":[87],"labeled)":[88],"observed":[89],"outcomes.":[90],"Despite":[91],"extensive":[92],"strong":[95],"theoretical":[96,127],"results,":[97],"epistemological":[99],"underpinnings":[100],"LEA":[102,138,160],"remain":[103],"largely":[104],"heuristic.":[105],"This":[106],"work":[107],"addresses":[108],"gap":[110],"by":[111,198],"proposing":[112],"formal":[119],"foundation":[120],"LEA.":[122],"Here":[123],"report":[125],"algorithmic":[129],"integration":[130],"into":[133],"LEA,":[134],"showing":[135],"that":[136],"classical":[137],"algorithms":[139,178],"such":[140],"Halving":[142,162],"Weighted":[144,165],"Majority":[145],"can":[146],"be":[147],"derived":[148],"special":[150],"cases":[151],"evidential":[153],"reasoning.":[154],"We":[155],"further":[156],"introduce":[157],"two":[158],"novel":[159],"algorithms\u2014Evidential":[161],"Evidential":[164],"Majority\u2014which":[166],"fully":[167],"exploit":[168],"support":[171],"cautious":[172],"prediction":[173],"through":[174],"abstention.":[175],"These":[176,189],"new":[177,193],"demonstrate":[179],"improved":[180],"regret":[181],"bounds":[182],"over":[183],"traditional":[184],"methods,":[185],"under":[186],"mild":[187],"assumptions.":[188],"findings":[190],"open":[191],"direction":[194],"leveraging":[199],"full":[201],"expressive":[202],"power":[203],"design":[207],"theoretically":[208],"grounded":[209],"algorithms.":[210]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-24T00:00:00"}
