{"id":"https://openalex.org/W2161571887","doi":"https://doi.org/10.1145/1553374.1553524","title":"Piecewise-stationary bandit problems with side observations","display_name":"Piecewise-stationary bandit problems with side observations","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2161571887","doi":"https://doi.org/10.1145/1553374.1553524","mag":"2161571887"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5101868923","display_name":"Jia Yuan Yu","orcid":"https://orcid.org/0000-0002-6674-6150"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jia Yuan Yu","raw_affiliation_strings":["McGill University, Montr\u00e9al, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montr\u00e9al, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036260775","display_name":"Shie Mannor","orcid":"https://orcid.org/0000-0003-4439-7647"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shie Mannor","raw_affiliation_strings":["McGill University, Montr\u00e9al, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montr\u00e9al, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101868923"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":3.3327,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.92396907,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1177","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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":1.0,"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/T12288","display_name":"Optimization and Search Problems","score":0.9977999925613403,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9975000023841858,"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/regret","display_name":"Regret","score":0.8278295397758484},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.7875096797943115},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5086608529090881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4940944015979767},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4821440875530243},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4789212942123413},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4745370149612427},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.46818482875823975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43329542875289917},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43311187624931335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2234867811203003},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21415117383003235},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11476004123687744}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8278295397758484},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7875096797943115},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5086608529090881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4940944015979767},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4821440875530243},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4789212942123413},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4745370149612427},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46818482875823975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43329542875289917},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43311187624931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2234867811203003},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21415117383003235},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11476004123687744},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1553374.1553524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.7794","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.mcgill.ca/~icml2009/papers/367.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.188.8742","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.8742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sequel.futurs.inria.fr/online-learning/yuan_piecewise.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.514.8047","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.514.8047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cim.mcgill.ca/~jiayuan/icml09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2161485184","display_name":null,"funder_award_id":"890015","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321747","display_name":"Fonds Qu\u00e9b\u00e9cois de la Recherche sur la Nature et les Technologies","ror":"https://ror.org/00b9f9778"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W1697024163","https://openalex.org/W1944301273","https://openalex.org/W1965662339","https://openalex.org/W1970041563","https://openalex.org/W1981904416","https://openalex.org/W1999907325","https://openalex.org/W2004094275","https://openalex.org/W2009551863","https://openalex.org/W2051903196","https://openalex.org/W2066731174","https://openalex.org/W2077902449","https://openalex.org/W2093825590","https://openalex.org/W2095649426","https://openalex.org/W2108114251","https://openalex.org/W2147967768","https://openalex.org/W2166426063","https://openalex.org/W2168405694","https://openalex.org/W2294582607","https://openalex.org/W3008801451","https://openalex.org/W3101806252","https://openalex.org/W3105579973"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W2109304297","https://openalex.org/W2100864966","https://openalex.org/W2083709218","https://openalex.org/W4323366562"],"abstract_inverted_index":{"We":[0],"consider":[1],"a":[2,12,31],"sequential":[3],"decision":[4],"problem":[5],"where":[6,84,102,109],"the":[7,16,47,54,58,70,76,79,87,100,110],"rewards":[8],"are":[9,20,105],"generated":[10],"by":[11],"piecewise-stationary":[13],"distribution.":[14],"However,":[15],"different":[17],"reward":[18,59],"distributions":[19,77],"unknown":[21,26],"and":[22,78,108],"may":[23],"change":[24],"at":[25,113],"instants.":[27],"Our":[28],"approach":[29],"uses":[30],"limited":[32],"number":[33,88],"of":[34,46,49,53,57,75,89],"side":[35,103],"observations":[36,104],"on":[37],"past":[38],"rewards,":[39],"but":[40],"does":[41],"not":[42,106],"require":[43],"prior":[44],"knowledge":[45,74],"frequency":[48],"changes.":[50],"In":[51],"spite":[52],"adversarial":[55],"nature":[56],"process,":[60],"we":[61],"provide":[62],"an":[63],"algorithm":[64],"whose":[65],"regret,":[66],"with":[67,72],"respect":[68],"to":[69,92,99],"baseline":[71],"perfect":[73],"changes,":[80],"is":[81,86,96,112],"O(k":[82],"log(T)),":[83],"k":[85],"changes":[90],"up":[91],"time":[93],"T.":[94],"This":[95],"in":[97],"contrast":[98],"case":[101],"available,":[107],"regret":[111],"least":[114],"\u03a9(\u221aT).":[115]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}