{"id":"https://openalex.org/W7154696564","doi":"https://doi.org/10.48550/arxiv.2604.14860","title":"Best of both worlds: Stochastic & adversarial best-arm identification","display_name":"Best of both worlds: Stochastic & adversarial best-arm identification","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154696564","doi":"https://doi.org/10.48550/arxiv.2604.14860"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14860","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14860","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.14860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133850948","display_name":"Yasin Abbasi-Yadkori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbasi-Yadkori, Yasin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030261391","display_name":"Peter L. Bartlett","orcid":"https://orcid.org/0000-0002-8760-3140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bartlett, Peter L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030472606","display_name":"Victor Gabillon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabillon, Victor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133870115","display_name":"Alan Malek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malek, Alan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133917375","display_name":"Michal Valko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valko, Michal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.6741999983787537,"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":0.6741999983787537,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.21199999749660492,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.05640000104904175,"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/adversarial-system","display_name":"Adversarial system","score":0.8652999997138977},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5508000254631042},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5159000158309937},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49959999322891235},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4027999937534332},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.3260999917984009}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8652999997138977},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5508000254631042},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.517799973487854},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4950999915599823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4058000147342682},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540000021457672},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.296099990606308},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14860","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14860","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,"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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.14860","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14860","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"We":[0,102],"study":[1],"bandit":[2],"best-arm":[3],"identification":[4],"with":[5],"arbitrary":[6],"and":[7,54,133,151],"potentially":[8],"adversarial":[9,24,55,85,124,157],"rewards.":[10,125],"A":[11],"simple":[12,130],"random":[13],"uniform":[14],"learner":[15,46,74],"obtains":[16],"the":[17,23,34,52,62,65,99,109,116,145],"optimal":[18,91,110],"rate":[19,111],"of":[20,29,61,64,93,98,138],"error":[21,94,139],"in":[22,50,77,112,148],"scenario.":[25],"However,":[26],"this":[27],"type":[28],"strategy":[30,117],"is":[31,75,118,153],"suboptimal":[32],"when":[33],"rewards":[35],"are":[36],"sampled":[37],"stochastically.":[38],"Therefore,":[39],"we":[40,43,68,87,127],"ask:":[41],"Can":[42],"design":[44,128],"a":[45,73,96,104,129],"that":[47,70,107,135],"performs":[48],"optimally":[49],"both":[51],"stochastic":[53,100,113,149],"problems":[56,114],"while":[57],"not":[58],"being":[59],"aware":[60],"nature":[63],"rewards?":[66],"First,":[67],"show":[69,134],"designing":[71],"such":[72],"impossible":[76],"general.":[78],"In":[79],"particular,":[80],"to":[81,84,120,123,142,156],"be":[82,121],"robust":[83,122,155],"rewards,":[86],"can":[88],"only":[89],"guarantee":[90],"rates":[92],"on":[95],"subset":[97],"problems.":[101],"give":[103],"lower":[105,146],"bound":[106,147],"characterizes":[108],"if":[115],"constrained":[119],"Finally,":[126],"parameter-free":[131],"algorithm":[132],"its":[136],"probability":[137],"matches":[140],"(up":[141],"log":[143],"factors)":[144],"problems,":[150],"it":[152],"also":[154],"ones.":[158]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-18T00:00:00"}