{"id":"https://openalex.org/W2953081153","doi":"https://doi.org/10.18653/v1/p19-1281","title":"FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms","display_name":"FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953081153","doi":"https://doi.org/10.18653/v1/p19-1281","mag":"2953081153"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1281","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1281","pdf_url":"https://www.aclweb.org/anthology/P19-1281.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1281.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010486867","display_name":"Henry B. Moss","orcid":null},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Henry Moss","raw_affiliation_strings":["Centre for Doctoral Training, Lancaster University","LANCASTER UNIVERSITY,"],"affiliations":[{"raw_affiliation_string":"Centre for Doctoral Training, Lancaster University","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"LANCASTER UNIVERSITY,","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927521","display_name":"Andrew Moore","orcid":"https://orcid.org/0000-0002-3395-0841"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Andrew Moore","raw_affiliation_strings":["Centre for Doctoral Training, Lancaster University","Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Centre for Doctoral Training, Lancaster University","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040706665","display_name":"David S. Leslie","orcid":"https://orcid.org/0000-0001-5253-7676"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Leslie","raw_affiliation_strings":["School of Computing and Communications, Lancaster University","Lancaster University, Lancaster, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058785189","display_name":"Paul Rayson","orcid":"https://orcid.org/0000-0002-1257-2191"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Rayson","raw_affiliation_strings":["Dept. of Mathematics and Statistics, Lancaster University","Lancaster University, Lancaster, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Statistics, Lancaster University","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010486867"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07334447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2920","last_page":"2930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.7549416422843933},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7517522573471069},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6259926557540894},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5985846519470215},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5773727297782898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5155513286590576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4924705922603607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4064542353153229},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32697200775146484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549416422843933},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7517522573471069},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6259926557540894},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5985846519470215},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5773727297782898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5155513286590576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4924705922603607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4064542353153229},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32697200775146484},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.18653/v1/p19-1281","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1281","pdf_url":"https://www.aclweb.org/anthology/P19-1281.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.12230","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.12230","pdf_url":"https://arxiv.org/pdf/1906.12230","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:eprints.lancs.ac.uk:135308","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/135308/1/1906.12230v1.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"PeerReviewed"},{"id":"mag:2953081153","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.12230.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.12230","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.12230","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1281","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1281","pdf_url":"https://www.aclweb.org/anthology/P19-1281.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953081153.pdf","grobid_xml":"https://content.openalex.org/works/W2953081153.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1504908594","https://openalex.org/W1522301498","https://openalex.org/W1526710119","https://openalex.org/W1553290137","https://openalex.org/W1680392829","https://openalex.org/W1861050369","https://openalex.org/W1904365287","https://openalex.org/W1988520084","https://openalex.org/W1995945562","https://openalex.org/W2009551863","https://openalex.org/W2017919516","https://openalex.org/W2112420033","https://openalex.org/W2126559945","https://openalex.org/W2132876566","https://openalex.org/W2153579005","https://openalex.org/W2222505014","https://openalex.org/W2250539671","https://openalex.org/W2251648804","https://openalex.org/W2296283641","https://openalex.org/W2513592723","https://openalex.org/W2562607067","https://openalex.org/W2741893366","https://openalex.org/W2794509261","https://openalex.org/W2797563284","https://openalex.org/W2798935874","https://openalex.org/W2799181865","https://openalex.org/W2890484448","https://openalex.org/W2899771611","https://openalex.org/W2962883620","https://openalex.org/W2962902328","https://openalex.org/W2962955856","https://openalex.org/W2963266340","https://openalex.org/W2963428430","https://openalex.org/W2963486287","https://openalex.org/W2963641259","https://openalex.org/W2963691276","https://openalex.org/W2963691697","https://openalex.org/W2963736810","https://openalex.org/W2963940534","https://openalex.org/W2964033619","https://openalex.org/W2964143446","https://openalex.org/W2964164368"],"related_works":["https://openalex.org/W2962692163","https://openalex.org/W2887893267","https://openalex.org/W3171536155","https://openalex.org/W3182057971","https://openalex.org/W3094559844","https://openalex.org/W2405658191","https://openalex.org/W3036258001","https://openalex.org/W2954061370","https://openalex.org/W2997457965","https://openalex.org/W3208654390","https://openalex.org/W2898341306","https://openalex.org/W3004511681","https://openalex.org/W1533544838","https://openalex.org/W1759842886","https://openalex.org/W3159316838","https://openalex.org/W3118581558","https://openalex.org/W3016791490","https://openalex.org/W3156734410","https://openalex.org/W2979586483","https://openalex.org/W3194102059"],"abstract_inverted_index":{"We":[0,48,128],"present":[1],"FIESTA,":[2],"a":[3],"model":[4,39,52,143,147],"selection":[5,53,148],"approach":[6],"that":[7,50],"significantly":[8],"reduces":[9],"the":[10,74,100,125],"computational":[11,97],"resources":[12,98],"required":[13],"to":[14,28,37,63,80,92],"reliably":[15],"identify":[16],"state-of-the-art":[17],"performance":[18],"from":[19,73],"large":[20],"collections":[21],"of":[22,45,85,102,122],"candidate":[23],"models.":[24],"Despite":[25],"being":[26],"known":[27],"produce":[29],"unreliable":[30],"comparisons,":[31],"it":[32],"is":[33],"still":[34],"common":[35,64],"practice":[36,65],"compare":[38],"evaluations":[40,56,108,144],"based":[41,57],"on":[42,58,99,109],"single":[43],"choices":[44],"random":[46,89],"seeds.":[47],"show":[49],"reliable":[51],"also":[54],"requires":[55],"multiple":[59],"train-test":[60],"splits":[61,87],"(contrary":[62],"in":[66],"many":[67],"shared":[68],"tasks).":[69],"Using":[70],"bandit":[71],"theory":[72],"statistics":[75],"literature,":[76],"we":[77],"are":[78],"able":[79],"adaptively":[81],"determine":[82],"appropriate":[83],"numbers":[84],"data":[86],"and":[88],"seeds":[90],"used":[91],"evaluate":[93,129],"each":[94],"model,":[95],"focusing":[96],"evaluation":[101],"promising":[103],"models":[104,110],"whilst":[105],"avoiding":[106],"wasting":[107],"with":[111],"lower":[112],"performance.":[113],"Furthermore,":[114],"our":[115,130],"userfriendly":[116],"Python":[117],"implementation":[118],"produces":[119],"confidence":[120],"guarantees":[121],"correctly":[123],"selecting":[124,133],"optimal":[126],"model.":[127],"algorithms":[131],"by":[132],"between":[134],"8":[135],"target-dependent":[136],"sentiment":[137],"analysis":[138],"methods":[139],"using":[140],"dramatically":[141],"fewer":[142],"than":[145],"current":[146],"approaches.":[149]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}