{"id":"https://openalex.org/W4386072097","doi":"https://doi.org/10.1109/isit54713.2023.10206461","title":"Maximal-Capacity Discrete Memoryless Channel Identification","display_name":"Maximal-Capacity Discrete Memoryless Channel Identification","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072097","doi":"https://doi.org/10.1109/isit54713.2023.10206461"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206461","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5019059202","display_name":"Maximilian Egger","orcid":"https://orcid.org/0000-0003-2677-4074"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Maximilian Egger","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024768934","display_name":"Rawad Bitar","orcid":"https://orcid.org/0000-0002-4421-1024"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rawad Bitar","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041962883","display_name":"Antonia Wachter-Zeh","orcid":"https://orcid.org/0000-0002-5174-1947"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antonia Wachter-Zeh","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz G\u00fcnd\u00fcz","raw_affiliation_strings":["Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076051906","display_name":"Nir Weinberger","orcid":"https://orcid.org/0000-0001-6028-8892"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nir Weinberger","raw_affiliation_strings":["Technion — Israel Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Technion — Israel Institute of Technology","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019059202"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.5128,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68983821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2248","last_page":"2253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9905999898910522,"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/channel","display_name":"Channel (broadcasting)","score":0.8137692809104919},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7592068910598755},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.6845371723175049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5807198882102966},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5545361638069153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5266908407211304},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49942970275878906},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.4778675436973572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4008041024208069},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28582319617271423},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11354553699493408},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07030335068702698}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.8137692809104919},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7592068910598755},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.6845371723175049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5807198882102966},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5545361638069153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5266908407211304},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49942970275878906},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.4778675436973572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4008041024208069},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28582319617271423},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11354553699493408},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07030335068702698},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206461","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1546182374","https://openalex.org/W1973071586","https://openalex.org/W1989151402","https://openalex.org/W1989900673","https://openalex.org/W1997834106","https://openalex.org/W2017919516","https://openalex.org/W2029236670","https://openalex.org/W2034377106","https://openalex.org/W2058388580","https://openalex.org/W2063299195","https://openalex.org/W2073749694","https://openalex.org/W2095324495","https://openalex.org/W2101985079","https://openalex.org/W2114771311","https://openalex.org/W2123469175","https://openalex.org/W2126559945","https://openalex.org/W2147967768","https://openalex.org/W2148719904","https://openalex.org/W2148986322","https://openalex.org/W2193897973","https://openalex.org/W2210387432","https://openalex.org/W2528249115","https://openalex.org/W2593025552","https://openalex.org/W2747326491","https://openalex.org/W2785693514","https://openalex.org/W2790985052","https://openalex.org/W2895949630","https://openalex.org/W2963608890","https://openalex.org/W2963720577","https://openalex.org/W2974517905","https://openalex.org/W3008801451","https://openalex.org/W3036000335","https://openalex.org/W3101740335","https://openalex.org/W3128611524","https://openalex.org/W4206530644","https://openalex.org/W4233622607","https://openalex.org/W4289655147","https://openalex.org/W6678664249","https://openalex.org/W6727939873","https://openalex.org/W6779240658"],"related_works":["https://openalex.org/W2365845865","https://openalex.org/W2171803295","https://openalex.org/W2126420649","https://openalex.org/W1965775381","https://openalex.org/W1983983451","https://openalex.org/W4313406088","https://openalex.org/W2134501555","https://openalex.org/W2055696143","https://openalex.org/W2136276611","https://openalex.org/W2547819484"],"abstract_inverted_index":{"We":[0,51,68,116,146,184],"consider":[1],"the":[2,6,9,19,36,46,55,62,94,103,109,134,148,155,165,169,175,182,187,196],"problem":[3,37,59],"of":[4,26,38,48,151,158,164,171,181,189],"finding":[5],"channel":[7,40,75,159,191],"with":[8,18,108,112,124,195],"highest":[10],"capacity":[11,71,84,130],"among":[12],"several":[13],"discrete":[14],"memoryless":[15],"channels":[16],"(DMCs)":[17],"same":[20],"input-output":[21],"alphabet":[22,179,197],"sizes":[23,180],"by":[24,35,45,65],"means":[25],"exploration":[27],"using":[28],"multi-armed":[29],"bandits.":[30],"This":[31],"setting":[32],"is":[33,99,131],"motivated":[34],"exploring":[39],"statistics":[41],"in":[42,144],"communication":[43],"systems":[44],"invocation":[47],"training":[49],"sequences.":[50],"particularly":[52],"focus":[53],"on":[54,74],"best":[56,104,190],"arm":[57],"identification":[58,192],"and":[60,77,137,174,177],"rank":[61],"candidate":[63],"DMCs":[64],"their":[66],"capacities.":[67],"propose":[69],"a":[70,89,113,127,142,162],"estimator":[72],"based":[73],"sensing":[76],"derive":[78],"associated":[79],"concentration":[80],"results.":[81],"Using":[82],"this":[83],"estimator,":[85],"we":[86],"introduce":[87,118],"BestChanID,":[88],"gap-elimination":[90],"algorithm,":[91],"oblivious":[92],"to":[93,101,133],"capacity-achieving":[95],"input":[96,176],"distribution,":[97],"which":[98],"guaranteed":[100],"output":[102,178],"DMC,":[105],"i.e.,":[106,154],"DMC":[107,128],"largest":[110,135],"capacity,":[111,136],"desired":[114,166],"confidence.":[115],"further":[117],"NaiveChanSel,":[119],"an":[120],"algorithm":[121],"that":[122,186],"outputs":[123],"certain":[125],"confidence":[126,167],"whose":[129],"close":[132],"can":[138],"be":[139],"used":[140],"as":[141,161],"subroutine":[143],"BestChanID.":[145],"analyze":[147],"sample":[149],"complexity":[150],"both":[152],"algorithms,":[153],"total":[156],"number":[157,170],"senses,":[160],"function":[163],"parameter,":[168],"available":[172],"channels,":[173],"channels.":[183],"show":[185],"cost":[188],"scales":[193],"cubically":[194],"size.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}