{"id":"https://openalex.org/W8700100","doi":null,"title":"Information Complexity in Bandit Subset Selection","display_name":"Information Complexity in Bandit Subset Selection","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W8700100","mag":"8700100"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.172","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/~shivaram/papers/kk_colt_2013.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083219425","display_name":"Emilie Kaufmann","orcid":"https://orcid.org/0000-0002-5496-824X","observed_orcids":["https://orcid.org/0000-0002-5496-824X"]},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emilie Kaufmann","raw_affiliation_strings":["S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","TSI - D\u00e9partement Traitement du Signal et des Images (T\u00e9l\u00e9com ParisTech / TSI 46, rue Barrault 75634 PARIS Cedex 13 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S2A - Signal, Statistique et Apprentissage (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"TSI - D\u00e9partement Traitement du Signal et des Images (T\u00e9l\u00e9com ParisTech / TSI 46, rue Barrault 75634 PARIS Cedex 13 - France)","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I190752583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038200034","display_name":"Shivaram Kalyanakrishnan","orcid":"https://orcid.org/0009-0006-7707-6056","observed_orcids":["https://orcid.org/0009-0006-7707-6056"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shivaram Kalyanakrishnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.813,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":{"value":0.98456557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"30","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":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/information-complexity","display_name":"information complexity","score":0.8180000185966492},{"id":"https://openalex.org/keywords/multi-armed-bandits","display_name":"multi-armed bandits","score":0.7929999828338623},{"id":"https://openalex.org/keywords/combinatorial-multi-armed-bandit","display_name":"combinatorial bandits","score":0.722000002861023},{"id":"https://openalex.org/keywords/information-theoretic-lower-bounds","display_name":"information-theoretic lower bounds","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8300209045410156},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7538198828697205},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6865256428718567},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.5995309352874756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5692065954208374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5479441285133362},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.477622926235199},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4323664903640747},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.4250119924545288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3662624955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.263622522354126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18730536103248596},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.172","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/~shivaram/papers/kk_colt_2013.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-02288406v1","doi":null,"is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-02288406","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conference On Learning Theory, Jun 2013, Princeton, United States","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1553290137","https://openalex.org/W1556834409","https://openalex.org/W1585839838","https://openalex.org/W2009551863","https://openalex.org/W2039522160","https://openalex.org/W2059654640","https://openalex.org/W2097452095","https://openalex.org/W2103405567","https://openalex.org/W2108794978","https://openalex.org/W2132876566","https://openalex.org/W2147967768","https://openalex.org/W2158319693","https://openalex.org/W2168405694","https://openalex.org/W2168810201","https://openalex.org/W2963750583","https://openalex.org/W2963812065","https://openalex.org/W3100329718","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W7096065834","https://openalex.org/W7095317006","https://openalex.org/W2168810201","https://openalex.org/W4379538783","https://openalex.org/W2112387288","https://openalex.org/W2914598389","https://openalex.org/W2097955668","https://openalex.org/W2886797992","https://openalex.org/W4391012997","https://openalex.org/W2132876566"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,7,15,23,26,39,46,55,58,63,67,71,81,104],"problem":[3],"of":[4,9,18,41,54,103],"efficiently":[5],"exploring":[6],"arms":[8],"a":[10,19,42,86],"stochastic":[11],"bandit":[12],"to":[13,75,80],"identify":[14],"best":[16],"subset":[17],"specified":[20],"size.":[21],"Under":[22],"PAC":[24],"and":[25,93],"fixed-budget":[27],"formulations,":[28],"we":[29,84],"derive":[30],"improved":[31],"bounds":[32,51,61],"by":[33],"using":[34],"KL-divergence-based":[35],"confidence":[36],"intervals.":[37],"Whereas":[38],"application":[40],"similar":[43],"idea":[44],"in":[45,52,62,101],"regret":[47],"setting":[48,65],"has":[49],"yielded":[50],"terms":[53],"KL-divergence":[56],"between":[57,70,88],"arms,":[59],"our":[60],"pure-exploration":[64,97],"involve":[66],"``Chernoff":[68],"information''":[69],"arms.":[72],"In":[73],"addition":[74],"introducing":[76],"this":[77],"novel":[78],"quantity":[79],"bandits":[82],"literature,":[83],"contribute":[85],"comparison":[87],"strategies":[89],"based":[90],"on":[91],"uniform":[92],"adaptive":[94],"sampling":[95],"for":[96],"problems,":[98],"finding":[99],"evidence":[100],"favor":[102],"latter.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}