{"id":"https://openalex.org/W4289655153","doi":"https://doi.org/10.1109/isit50566.2022.9834892","title":"Cascading Bandits with Two-Level Feedback","display_name":"Cascading Bandits with Two-Level Feedback","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655153","doi":"https://doi.org/10.1109/isit50566.2022.9834892"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834892","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5069209851","display_name":"Duo Cheng","orcid":"https://orcid.org/0009-0009-7063-4651"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Duo Cheng","raw_affiliation_strings":["Virginia Tech,Department of CS,Blacksburg,VA,24060"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of CS,Blacksburg,VA,24060","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025491239","display_name":"Ruiquan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruiquan Huang","raw_affiliation_strings":["The Pennsylvania State University,School of EECS,PA,16802"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University,School of EECS,PA,16802","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["University of Virginia,Department of ECE,Charlottesville,VA,22904"],"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of ECE,Charlottesville,VA,22904","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645589","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0003-4439-6118"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["The Pennsylvania State University,School of EECS,PA,16802"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University,School of EECS,PA,16802","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069209851"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.519,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55026455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1892","last_page":"1896"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9987000226974487,"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/T13553","display_name":"Age of Information Optimization","score":0.9972000122070312,"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/regret","display_name":"Regret","score":0.7502883672714233},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.7109911441802979},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.7047877311706543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040671110153198},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.616197407245636},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4275626838207245},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4131866991519928},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4049258530139923},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3872385621070862},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2318831980228424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23116442561149597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2066764533519745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1775280237197876}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7502883672714233},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.7109911441802979},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.7047877311706543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040671110153198},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.616197407245636},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4275626838207245},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4131866991519928},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4049258530139923},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3872385621070862},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2318831980228424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23116442561149597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2066764533519745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1775280237197876},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834892","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":12,"referenced_works":["https://openalex.org/W1900560890","https://openalex.org/W2125724988","https://openalex.org/W2914552210","https://openalex.org/W2962847184","https://openalex.org/W2963615650","https://openalex.org/W2992674761","https://openalex.org/W3035355189","https://openalex.org/W3097446926","https://openalex.org/W4289655153","https://openalex.org/W6639595677","https://openalex.org/W6697924686","https://openalex.org/W6784849742"],"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/W1925875298","https://openalex.org/W4292701710","https://openalex.org/W2395800181"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,26,39,47,64,69,76,81,102,105,117,130,140,145],"engineering":[3],"application":[4],"of":[5,104,147],"efficient":[6],"mobility":[7,44,151],"management":[8],"in":[9,43,125],"ultra-dense":[10],"wireless":[11],"networks,":[12],"we":[13],"propose":[14],"a":[15,32],"novel":[16],"cost-aware":[17],"cascading":[18,28],"bandit":[19,29],"model":[20,30,37],"with":[21,25,31,109,129],"two-level":[22,92,121,148],"actions.":[23],"Compared":[24],"standard":[27],"single-level":[33],"action,":[34],"this":[35],"new":[36],"captures":[38],"real-world":[40],"action":[41],"sequence":[42],"management,":[45],"where":[46],"base":[48,71],"station":[49],"not":[50],"only":[51],"decides":[52],"on":[53],"an":[54],"ordered":[55],"neighbor":[56],"cell":[57],"list":[58],"before":[59],"measurement,":[60],"but":[61],"also":[62],"executes":[63],"final":[65],"handover":[66],"decision":[67],"to":[68,100],"target":[70],"station.":[72],"We":[73],"first":[74],"analyze":[75],"optimal":[77,106],"offline":[78,107],"policy":[79,108],"when":[80],"arm":[82,111],"statistics":[83],"are":[84],"known":[85],"beforehand.":[86],"An":[87],"online":[88],"learning":[89],"algorithm":[90],"coined":[91],"Cost-aware":[93],"Cascading":[94],"UCB":[95],"(CC-UCB)":[96],"is":[97,135],"then":[98],"proposed":[99],"exploit":[101],"structure":[103],"estimated":[110],"statistics.":[112],"Theoretical":[113],"analysis":[114],"shows":[115],"that":[116],"cumulative":[118],"regret":[119],"under":[120],"CC-UCB":[122,149],"scales":[123],"logarithmically":[124],"time,":[126],"which":[127],"coincides":[128],"asymptotic":[131],"lower":[132],"bound,":[133],"thus":[134],"order-optimal.":[136],"Simulation":[137],"results":[138,142],"corroborate":[139],"theoretical":[141],"and":[143],"validate":[144],"effectiveness":[146],"for":[150],"management.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
