{"id":"https://openalex.org/W4298187496","doi":"https://doi.org/10.48550/arxiv.2605.03496","title":"Bandits attack function optimization","display_name":"Bandits attack function optimization","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W4298187496","doi":"https://doi.org/10.48550/arxiv.2605.03496"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2605.03496","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.03496","pdf_url":"https://arxiv.org/pdf/2605.03496","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2605.03496","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048451431","display_name":"Pierre\u2010Marie Preux","orcid":"https://orcid.org/0000-0002-2171-2977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Preux, Philippe","raw_affiliation_strings":["Sequential Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sequential Learning","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006533777","display_name":"R\u00e9mi Munos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Munos, R\u00e9mi","raw_affiliation_strings":["Sequential Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sequential Learning","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106038276","display_name":"Michal Valko","orcid":"https://orcid.org/0009-0007-8593-7765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valko, Michal","raw_affiliation_strings":["Sequential Learning"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sequential Learning","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9412999749183655,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9412999749183655,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9361000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9006999731063843,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6282666325569153},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5162599086761475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282666325569153},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5162599086761475},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:2605.03496","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.03496","pdf_url":"https://arxiv.org/pdf/2605.03496","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-00978637v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00978637","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Congress on Evolutionary Computation, Jul 2014, Beijing, China","raw_type":"Conference papers"},{"id":"pmh:oai:lilloa.univ-lille.fr:20.500.12210/26037","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12210/26037","pdf_url":null,"source":{"id":"https://openalex.org/S4306402203","display_name":"LillOA (Universit\u00e9 de Lille (University Of Lille))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210123514","host_organization_name":"Centre d'Etudes en Civilisations, Langues et Litt\u00e9ratures Etrang\u00e8res","host_organization_lineage":["https://openalex.org/I4210123514"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2605.03496","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03496","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":"pmh:oai:arXiv.org:2605.03496","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.03496","pdf_url":"https://arxiv.org/pdf/2605.03496","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4298187496.pdf","grobid_xml":"https://content.openalex.org/works/W4298187496.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"We":[0,26,66,101],"consider":[1,27],"function":[2,20],"optimization":[3,43,60,125],"as":[4],"a":[5,32,36,74],"sequential":[6],"decision":[7],"making":[8],"problem":[9,39,44],"under":[10],"budget":[11],"constraint.":[12],"This":[13],"constraint":[14],"limits":[15],"the":[16,24,47,55,62,68,88,91,95,99,111,117],"number":[17],"of":[18,35,54,84,98,114],"objective":[19,122],"evaluations":[21],"allowed":[22],"during":[23],"optimization.":[25],"an":[28],"algorithm":[29,76],"inspired":[30],"by":[31,45,79],"continuous":[33],"version":[34],"multi-armed":[37],"bandit":[38],"which":[40],"attacks":[41],"this":[42,103],"solving":[46],"tradeoff":[48],"between":[49],"exploration":[50],"(initial":[51],"quasi-uniform":[52],"search":[53],"domain)":[56],"and":[57,94,109],"exploitation":[58],"(local":[59],"around":[61],"potentially":[63],"global":[64],"maxima).":[65],"introduce":[67],"so-called":[69],"Simultaneous":[70],"Optimistic":[71],"Optimization":[72],"(SOO),":[73],"deterministic":[75],"that":[77],"works":[78],"domain":[80],"partitioning.":[81],"The":[82],"benefit":[83],"such":[85],"approach":[86,106],"are":[87],"guarantees":[89],"on":[90,116,120],"returned":[92],"solution":[93],"numerical":[96,124],"efficiency":[97],"algorithm.":[100],"present":[102],"machine":[104],"learning":[105],"to":[107],"optimization,":[108],"provide":[110],"empirical":[112],"assessment":[113],"SOO":[115],"CEC'2014":[118],"competition":[119],"single":[121],"real-parameter":[123],"test-suite.":[126]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-10-01T00:00:00"}