{"id":"https://openalex.org/W4407783408","doi":"https://doi.org/10.1109/comsnets63942.2025.10885731","title":"Fixed Budget Bayesian Best Arm Identification in Unimodal Bandits","display_name":"Fixed Budget Bayesian Best Arm Identification in Unimodal Bandits","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407783408","doi":"https://doi.org/10.1109/comsnets63942.2025.10885731"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","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/A5003586322","display_name":"Debamita Ghosh","orcid":"https://orcid.org/0000-0003-2848-2227"},"institutions":[{"id":"https://openalex.org/I2802772015","display_name":"IITB-Monash Research Academy","ror":"https://ror.org/02r3nf527","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531","https://openalex.org/I2802772015","https://openalex.org/I56590836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Debamita Ghosh","raw_affiliation_strings":["IIT,IITB-Monash Research Academy,Bombay,India"],"affiliations":[{"raw_affiliation_string":"IIT,IITB-Monash Research Academy,Bombay,India","institution_ids":["https://openalex.org/I2802772015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057858044","display_name":"Manjesh K. Hanawal","orcid":"https://orcid.org/0000-0002-1807-5487"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manjesh Kumar Hanawal","raw_affiliation_strings":["IIT,MLioNS Lab, IEOR,Bombay,India"],"affiliations":[{"raw_affiliation_string":"IIT,MLioNS Lab, IEOR,Bombay,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072326730","display_name":"Nikola Zlatanov","orcid":"https://orcid.org/0000-0001-6828-3308"},"institutions":[{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikola Zlatanov","raw_affiliation_strings":["Innopolis University,Russia"],"affiliations":[{"raw_affiliation_string":"Innopolis University,Russia","institution_ids":["https://openalex.org/I4210116741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003586322"],"corresponding_institution_ids":["https://openalex.org/I2802772015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03810469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"748","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9739999771118164,"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":0.9739999771118164,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9675999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6876344680786133},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6567419171333313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320282220840454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42377984523773193},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33130544424057007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2078576683998108}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6876344680786133},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6567419171333313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320282220840454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42377984523773193},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33130544424057007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2078576683998108},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets63942.2025.10885731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2051248941","https://openalex.org/W2122108146","https://openalex.org/W2149721706","https://openalex.org/W2158319693","https://openalex.org/W2401855953","https://openalex.org/W2519680108","https://openalex.org/W2962691384","https://openalex.org/W2963007936","https://openalex.org/W3129681147","https://openalex.org/W3189769470","https://openalex.org/W4206530644","https://openalex.org/W4234228486","https://openalex.org/W4300508798","https://openalex.org/W4385444019","https://openalex.org/W4396713001","https://openalex.org/W6625011176","https://openalex.org/W6630462033","https://openalex.org/W6632992360","https://openalex.org/W6633965395","https://openalex.org/W6657494743","https://openalex.org/W6675394771","https://openalex.org/W6675656252","https://openalex.org/W6676077707","https://openalex.org/W6676362848","https://openalex.org/W6678664249","https://openalex.org/W6681556291","https://openalex.org/W6681960134","https://openalex.org/W6685031738","https://openalex.org/W6686919637","https://openalex.org/W6696921852","https://openalex.org/W6696927413","https://openalex.org/W6716649906","https://openalex.org/W6738764001","https://openalex.org/W6743785172","https://openalex.org/W6761266278","https://openalex.org/W6761779590","https://openalex.org/W6762435356","https://openalex.org/W6769209954","https://openalex.org/W6771062507","https://openalex.org/W6795980457","https://openalex.org/W6804124424","https://openalex.org/W6844452895","https://openalex.org/W6846450535"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,135],"high-speed":[1,6,48],"vehicular":[2],"communications,":[3],"e.g.,":[4],"a":[5,22,29,39,121,148,157],"train":[7,49],"system,":[8],"the":[9,12,64,72,83,94,114,125,129,133,136,141,153,163,169,182,202,216],"beam":[10,31,43,65,145],"between":[11],"base":[13],"station":[14],"and":[15,199],"user":[16],"is":[17,33,57,172,181,210],"frequently":[18],"misaligned,":[19],"resulting":[20],"in":[21,45,63],"huge":[23],"amount":[24],"of":[25,54,82,128],"associated":[26],"overheads.":[27],"As":[28],"result,":[30],"alignment":[32,44],"often":[34],"challenging.":[35],"This":[36],"paper":[37],"presents":[38],"new":[40],"approach":[41,56],"to":[42,71,89],"millimeter":[46],"wave":[47],"systems.":[50],"The":[51],"core":[52],"idea":[53],"our":[55],"using":[58],"Bayesian":[59],"multi-armed":[60],"bandit":[61],"(MAB)":[62],"search":[66],"process,":[67],"where":[68,179],"we":[69,102,160],"refer":[70],"beams":[73,96],"as":[74,90,147,175],"arms.":[75,134],"Furthermore,":[76],"there":[77],"exists":[78],"an":[79,104,187],"unimodal":[80,126],"structure":[81,127],"mean":[84,91,130],"received":[85],"signal":[86,142],"strength":[87],"(referred":[88],"rewards)":[92],"over":[93,132],"available":[95],"(or":[97],"arms).":[98],"To":[99],"this":[100],"end,":[101],"develop":[103,186],"algorithm":[105,188],"named":[106,193],"Bayesian-Best":[107],"Arm":[108],"with":[109,117,156,215],"Unimodality":[110],"(B-BAU)":[111],"that":[112,162,166,197],"identifies":[113],"best":[115],"arm":[116,171],"high":[118],"confidence":[119],"within":[120],"fixed-budget":[122],"by":[123,139],"exploiting":[124],"rewards":[131,155],"proposed":[137],"method,":[138],"approximating":[140],"on":[143],"each":[144],"direction":[146],"Gaussian":[149,154,158],"random":[150],"variable,":[151],"for":[152,189],"prior,":[159],"show":[161],"expected":[164],"probability":[165],"B-BAU":[167,200,212],"misidentifies":[168],"optimal":[170],"upper":[173],"bounded":[174],"$O(1/\\sqrt":[176],"T":[177,180],")$,":[178],"budget.":[183],"We":[184,195],"then":[185],"its":[190],"frequentist":[191],"counterpart":[192],"F-BAU.":[194],"demonstrate":[196],"F-BAU":[198,209],"outperform":[201],"state-of-the-art":[203],"algorithms":[204],"through":[205],"extensive":[206],"simulations.":[207],"While":[208],"parameter-free,":[211],"performs":[213],"better":[214],"prior":[217],"information.":[218]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}