{"id":"https://openalex.org/W2963137828","doi":"https://doi.org/10.48550/arxiv.1801.00101","title":"Parameter-free online learning via model selection","display_name":"Parameter-free online learning via model selection","publication_year":2017,"publication_date":"2017-12-30","ids":{"openalex":"https://openalex.org/W2963137828","doi":"https://doi.org/10.48550/arxiv.1801.00101","mag":"2963137828"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1801.00101","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.00101","pdf_url":"https://arxiv.org/pdf/1801.00101","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.00101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075069827","display_name":"Dylan J. Foster","orcid":null,"observed_orcids":[]},"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":"Foster, Dylan J.","raw_affiliation_strings":["cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114021051","display_name":"Satyen Kale","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210128969","display_name":"Alphabet (United States)","ror":"https://ror.org/02e9yx751","country_code":"US","type":"company","lineage":["https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kale, Satyen","raw_affiliation_strings":["Alphabet Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alphabet Inc","institution_ids":["https://openalex.org/I4210128969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058849006","display_name":"Mehryar Mohri","orcid":"https://orcid.org/0000-0002-3987-9847","observed_orcids":["https://orcid.org/0000-0002-3987-9847"]},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohri, Mehryar","raw_affiliation_strings":["Google (United States), Mountain View, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google (United States), Mountain View, United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103984097","display_name":"Karthik Sridharan","orcid":null,"observed_orcids":[]},"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":"Sridharan, Karthik","raw_affiliation_strings":["cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"6020","last_page":"6030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.7645999789237976,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.7645999789237976,"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/T10136","display_name":"Statistical Methods and Inference","score":0.17569999396800995,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.034699998795986176,"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/online-model-selection","display_name":"online model selection","score":0.9380000233650208},{"id":"https://openalex.org/keywords/oracle-inequalities","display_name":"oracle inequalities","score":0.9739999771118164},{"id":"https://openalex.org/keywords/meta-algorithms","display_name":"meta-algorithms","score":0.8460000157356262},{"id":"https://openalex.org/keywords/banach-spaces","display_name":"Banach spaces","score":0.9779999852180481},{"id":"https://openalex.org/keywords/matrix-classes","display_name":"matrix classes","score":0.6269999742507935},{"id":"https://openalex.org/keywords/convex-sets","display_name":"convex sets","score":0.8299999833106995},{"id":"https://openalex.org/keywords/prediction-with-expert-advice","display_name":"prediction with expert advice","score":0.8659999966621399},{"id":"https://openalex.org/keywords/online-supervised-learning","display_name":"online supervised learning","score":0.7160000205039978}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.7528200149536133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432430744171143},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.5886265635490417},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5386964678764343},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49732521176338196},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4746837317943573},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44518208503723145},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4168267846107483},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.411060094833374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3611629903316498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35315388441085815},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3512430489063263},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3357478380203247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3307766020298004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3253890573978424},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:1801.00101","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.00101","pdf_url":"https://arxiv.org/pdf/1801.00101","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"doi:10.48550/arxiv.1801.00101","doi":"https://doi.org/10.48550/arxiv.1801.00101","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1801.00101","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2963137828","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/7183-parameter-free-online-learning-via-model-selection.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1801.00101","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.00101","pdf_url":"https://arxiv.org/pdf/1801.00101","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2964051183","https://openalex.org/W2964155842","https://openalex.org/W2077723394","https://openalex.org/W2963138154","https://openalex.org/W2775694264","https://openalex.org/W1570963478","https://openalex.org/W2513180554","https://openalex.org/W2096646162","https://openalex.org/W1892200897","https://openalex.org/W3207855986","https://openalex.org/W2108203280","https://openalex.org/W2246417778","https://openalex.org/W1965101143","https://openalex.org/W2936176764","https://openalex.org/W2964231757","https://openalex.org/W1795860961","https://openalex.org/W2979031135","https://openalex.org/W2900176663","https://openalex.org/W2534193021","https://openalex.org/W2191710671"],"abstract_inverted_index":{"We":[0,54,79],"introduce":[1],"an":[2],"efficient":[3,59],"algorithmic":[4],"framework":[5,42],"for":[6,85,105,130],"model":[7,46],"selection":[8,47],"in":[9,34,64,109],"online":[10,16,45,111],"learning,":[11],"also":[12],"known":[13],"as":[14,31],"parameter-free":[15,60],"learning.":[17],"Departing":[18],"from":[19],"previous":[20,72],"work,":[21],"which":[22,139],"has":[23],"focused":[24],"on":[25,136],"highly":[26],"structured":[27],"function":[28],"classes":[29,108],"such":[30],"nested":[32],"balls":[33],"Hilbert":[35,77],"space,":[36],"we":[37,97],"propose":[38],"a":[39,121,126],"generic":[40,94],"meta-algorithm":[41,123],"that":[43,62],"achieves":[44],"oracle":[48,83,103],"inequalities":[49,84,104],"under":[50,68],"minimal":[51],"structural":[52],"assumptions.":[53],"give":[55],"the":[56,110],"first":[57],"computationally":[58],"algorithms":[61],"work":[63],"arbitrary":[65,106],"Banach":[66],"spaces":[67],"mild":[69],"smoothness":[70],"assumptions;":[71],"results":[73,100,116],"applied":[74],"only":[75],"to":[76],"spaces.":[78],"further":[80],"derive":[81],"new":[82],"matrix":[86],"classes,":[87],"non-nested":[88],"convex":[89],"sets,":[90],"and":[91],"$\\mathbb{R}^{d}$":[92],"with":[93,132],"regularizers.":[95],"Finally,":[96],"generalize":[98],"these":[99],"by":[101],"providing":[102],"non-linear":[107],"supervised":[112],"learning":[113],"model.":[114],"These":[115],"are":[117],"all":[118],"derived":[119],"through":[120],"unified":[122],"scheme":[124],"using":[125],"novel":[127],"\"multi-scale\"":[128],"algorithm":[129],"prediction":[131],"expert":[133],"advice":[134],"based":[135],"random":[137],"playout,":[138],"may":[140],"be":[141],"of":[142],"independent":[143],"interest.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2025-10-10T00:00:00"}
