{"id":"https://openalex.org/W3007488827","doi":"https://doi.org/10.1109/bigdata47090.2019.9006449","title":"Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration","display_name":"Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007488827","doi":"https://doi.org/10.1109/bigdata47090.2019.9006449","mag":"3007488827"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5019632175","display_name":"Xiaoxiao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoxiao Wang","raw_affiliation_strings":["Computer Science Department, University of California, Davis, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016890097","display_name":"Xueying Guo","orcid":"https://orcid.org/0000-0003-0066-4248"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueying Guo","raw_affiliation_strings":["Computer Science Department, University of California, Davis, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089698321","display_name":"Jie Chuai","orcid":"https://orcid.org/0000-0001-9171-0697"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chuai","raw_affiliation_strings":["Noah\u2019s Ark Lab, Huawei Technologies, Hong Kong","Noah's Ark Lab, Huawei Technologies, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Noah\u2019s Ark Lab, Huawei Technologies, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Noah's Ark Lab, Huawei Technologies, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059324399","display_name":"Zhitang Chen","orcid":"https://orcid.org/0000-0001-7197-4601"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitang Chen","raw_affiliation_strings":["Noah\u2019s Ark Lab, Huawei Technologies, Hong Kong","Noah's Ark Lab, Huawei Technologies, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Noah\u2019s Ark Lab, Huawei Technologies, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Noah's Ark Lab, Huawei Technologies, Hong Kong","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352241","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-5379-8269"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Computer Science Department, University of California, Davis, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019632175"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.5942,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74092334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"3","issue":null,"first_page":"1517","last_page":"1526"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9922999739646912,"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":0.8038784265518188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749850749969482},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7028601765632629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5160276889801025},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.505315363407135},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5011842250823975},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5002419948577881},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48981139063835144},{"id":"https://openalex.org/keywords/learning-network","display_name":"Learning network","score":0.4512077271938324},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44943463802337646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.435047447681427},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3378492593765259},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12981027364730835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0985211431980133}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8038784265518188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749850749969482},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7028601765632629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160276889801025},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.505315363407135},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5011842250823975},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5002419948577881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48981139063835144},{"id":"https://openalex.org/C2987015589","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Learning network","level":2,"score":0.4512077271938324},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44943463802337646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.435047447681427},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3378492593765259},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12981027364730835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0985211431980133},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1519342765","https://openalex.org/W1531572832","https://openalex.org/W1542938076","https://openalex.org/W1554944419","https://openalex.org/W1579652926","https://openalex.org/W1746819321","https://openalex.org/W1916369423","https://openalex.org/W1946137962","https://openalex.org/W2004831575","https://openalex.org/W2049934117","https://openalex.org/W2108114251","https://openalex.org/W2108218430","https://openalex.org/W2111241577","https://openalex.org/W2112420033","https://openalex.org/W2119595900","https://openalex.org/W2119850747","https://openalex.org/W2125890412","https://openalex.org/W2143104527","https://openalex.org/W2165874967","https://openalex.org/W2168405694","https://openalex.org/W2343363056","https://openalex.org/W2620047599","https://openalex.org/W2784007778","https://openalex.org/W2791827017","https://openalex.org/W2950929549","https://openalex.org/W2964211955","https://openalex.org/W3125733173","https://openalex.org/W3215186461","https://openalex.org/W4211049957","https://openalex.org/W4229706427","https://openalex.org/W6631028693","https://openalex.org/W6634567111","https://openalex.org/W6676576766","https://openalex.org/W6676817345","https://openalex.org/W6677658955","https://openalex.org/W6678113768","https://openalex.org/W6738280732"],"related_works":["https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W2047225036","https://openalex.org/W4386698331","https://openalex.org/W2138314731","https://openalex.org/W2093207996","https://openalex.org/W2322468729","https://openalex.org/W2142989636","https://openalex.org/W2168356777"],"abstract_inverted_index":{"Cellular":[0],"network":[1,8,13,51],"configuration":[2,14],"plays":[3],"a":[4,27,60,149],"critical":[5],"role":[6],"n":[7],"performance.":[9],"In":[10,110],"current":[11],"practice,":[12],"depends":[15],"heavily":[16],"on":[17,107,148],"field":[18],"experience":[19],"of":[20,30,58,129,135,144],"engineers":[21],"and":[22,49,68,137],"often":[23,86],"remains":[24],"static":[25],"for":[26,64],"long":[28],"period":[29],"time.":[31],"This":[32],"practice":[33],"is":[34],"far":[35],"from":[36],"optimal.":[37],"To":[38,95],"address":[39],"this":[40],"limitation,":[41],"online-learning-based":[42],"approaches":[43,54],"have":[44,87],"great":[45],"potentials":[46],"to":[47],"automate":[48],"optimize":[50],"configuration.":[52],"Learning-based":[53],"face":[55],"the":[56,70,76,111,115,130,142],"challenges":[57],"learning":[59],"highly":[61],"complex":[62],"function":[63],"each":[65],"base":[66,83],"station":[67],"balancing":[69],"fundamental":[71],"exploration-exploitation":[72],"tradeoff":[73],"while":[74],"minimizing":[75],"exploration":[77],"cost.":[78],"Fortunately,":[79],"in":[80,133],"cellular":[81],"networks,":[82],"stations":[84],"(BSs)":[85],"similarities":[88],"even":[89],"though":[90],"they":[91],"are":[92],"not":[93],"identical.":[94],"leverage":[96,114],"such":[97],"similarities,":[98],"we":[99,113],"propose":[100],"kernel-based":[101],"multi-BS":[102],"contextual":[103],"bandit":[104],"algorithm":[105,132,146],"based":[106,147],"multi-task":[108],"learning.":[109],"algorithm,":[112],"similarity":[116],"among":[117],"different":[118],"BSs":[119],"defined":[120],"by":[121,152],"conditional":[122],"kernel":[123],"embedding.":[124],"We":[125,140],"present":[126],"theoretical":[127],"analysis":[128],"proposed":[131],"terms":[134],"regret":[136],"multi-task-learning":[138],"efficiency.":[139],"evaluate":[141],"effectiveness":[143],"our":[145],"simulator":[150],"built":[151],"real":[153],"traces.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
