{"id":"https://openalex.org/W3035238824","doi":"https://doi.org/10.24963/ijcai.2020/588","title":"Efficient and Robust High-Dimensional Linear Contextual Bandits","display_name":"Efficient and Robust High-Dimensional Linear Contextual Bandits","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3035238824","doi":"https://doi.org/10.24963/ijcai.2020/588","mag":"3035238824"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/588","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/588","pdf_url":"https://www.ijcai.org/proceedings/2020/0588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0588.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680886","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0001-9773-2993"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042512583","display_name":"Luo Luo","orcid":"https://orcid.org/0009-0000-3641-8992"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Luo Luo","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090720315","display_name":"Weinan Zhang","orcid":"https://orcid.org/0000-0002-0127-2425"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071762150","display_name":"Yijiang Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijiang Lian","raw_affiliation_strings":["Baidu"],"affiliations":[{"raw_affiliation_string":"Baidu","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100680886"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5571,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71213423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4259","last_page":"4265"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.9025196433067322},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6963568925857544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956125497817993},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5564616918563843},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4724307954311371},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47149011492729187},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4376991093158722},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.43442967534065247},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42480039596557617},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.41960012912750244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34115904569625854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2392261028289795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21075841784477234}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.9025196433067322},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6963568925857544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956125497817993},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5564616918563843},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4724307954311371},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47149011492729187},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4376991093158722},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.43442967534065247},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42480039596557617},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.41960012912750244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34115904569625854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2392261028289795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21075841784477234},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2020/588","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/588","pdf_url":"https://www.ijcai.org/proceedings/2020/0588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-108801","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-108801","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-108801","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-108801","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/588","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/588","pdf_url":"https://www.ijcai.org/proceedings/2020/0588.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3256823474","display_name":null,"funder_award_id":"61702327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4433206528","display_name":null,"funder_award_id":"61772333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035238824.pdf","grobid_xml":"https://content.openalex.org/works/W3035238824.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W50486269","https://openalex.org/W1485437584","https://openalex.org/W1487320471","https://openalex.org/W1991055526","https://openalex.org/W2092092836","https://openalex.org/W2108114251","https://openalex.org/W2112420033","https://openalex.org/W2112796928","https://openalex.org/W2114091522","https://openalex.org/W2119738618","https://openalex.org/W2119850747","https://openalex.org/W2149721706","https://openalex.org/W2160163723","https://openalex.org/W2233419371","https://openalex.org/W2271449166","https://openalex.org/W2592998600","https://openalex.org/W2604212920","https://openalex.org/W2734936460","https://openalex.org/W2950082499","https://openalex.org/W2952727425","https://openalex.org/W2963534947","https://openalex.org/W2966650348","https://openalex.org/W3118608800","https://openalex.org/W4293870618","https://openalex.org/W4299286629"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"The":[0],"linear":[1,32],"contextual":[2,33,48,89],"bandits":[3,34,90],"is":[4,75,120,128],"a":[5,69],"sequential":[6,14],"decision-making":[7],"problem":[8],"where":[9,118],"an":[10,85],"agent":[11],"decides":[12],"among":[13],"actions":[15],"given":[16],"their":[17],"corresponding":[18],"contexts.":[19],"Since":[20],"large-scale":[21],"data":[22,125],"sets":[23],"become":[24],"more":[25,27],"and":[26,101,111,126,156],"common,":[28],"we":[29,66,83],"study":[30],"the":[31,51,60,96,121,124,129,151],"in":[35,115,145],"high-dimensional":[36,146],"situations.":[37],"Recent":[38],"works":[39],"focus":[40],"on":[41],"employing":[42],"matrix":[43,52,71],"sketching":[44,72,130],"methods":[45,144],"to":[46,59,94],"accelerating":[47],"bandits.":[49],"However,":[50],"approximation":[53],"error":[54],"will":[55],"bring":[56],"additional":[57],"terms":[58],"regret":[61,140],"bound.":[62],"In":[63],"this":[64],"paper":[65],"first":[67],"propose":[68,84],"novel":[70],"method":[73,106,137],"which":[74],"called":[76],"Spectral":[77],"Compensation":[78],"Frequent":[79],"Directions":[80],"(SCFD).":[81],"Then":[82],"efficient":[86],"approach":[87],"for":[88],"by":[91],"adopting":[92],"SCFD":[93],"approximate":[95],"covariance":[97],"matrices.":[98],"By":[99],"maintaining":[100],"manipulating":[102],"sketched":[103],"matrices,":[104],"our":[105,136,154,158],"only":[107],"needs":[108],"O(md)":[109,112],"space":[110],"updating":[113],"time":[114],"each":[116],"round,":[117],"d":[119],"dimensionality":[122],"of":[123,153],"m":[127],"size.":[131],"Theoretical":[132],"analysis":[133],"reveals":[134],"that":[135],"has":[138],"better":[139],"bounds":[141],"than":[142],"previous":[143],"cases.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"effectiveness":[152],"algorithm":[155],"verify":[157],"theoretical":[159],"guarantees.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}