{"id":"https://openalex.org/W7092924032","doi":"https://doi.org/10.1109/isit63088.2025.11195644","title":"A General Framework for Clustering and Distribution Matching with Bandit Feedback","display_name":"A General Framework for Clustering and Distribution Matching with Bandit Feedback","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W7092924032","doi":"https://doi.org/10.1109/isit63088.2025.11195644"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":null,"display_name":"Recep Can Yavas","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Recep Can Yavas","raw_affiliation_strings":["National University of Singapore,Department of Computer Science,Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Computer Science,Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuqi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuqi Huang","raw_affiliation_strings":["School of Computing, National University of Singapore,Department of Information Systems and Analytics,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore,Department of Information Systems and Analytics,Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vincent Y. F. Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vincent Y. F. Tan","raw_affiliation_strings":["National University of Singapore,Department of Mathematics and Department of Electrical and Computer Engineering,Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Mathematics and Department of Electrical and Computer Engineering,Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jonathan Scarlett","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I144291393","display_name":"Data Storage Institute","ror":"https://ror.org/03k5xes38","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I144291393"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Scarlett","raw_affiliation_strings":["Institute of Data Science, National University of Singapore,Department of Computer Science, Department of Mathematics,Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Data Science, National University of Singapore,Department of Computer Science, Department of Mathematics,Singapore","institution_ids":["https://openalex.org/I165932596","https://openalex.org/I144291393"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5877193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12170","display_name":"History and Theory of Mathematics","score":0.0560000017285347,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12170","display_name":"History and Theory of Mathematics","score":0.0560000017285347,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.05130000039935112,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.04729999974370003,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7282000184059143},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6176000237464905},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.60589998960495},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.48100000619888306},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4796999990940094},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.47749999165534973},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.4449000060558319},{"id":"https://openalex.org/keywords/expected-value","display_name":"Expected value","score":0.41589999198913574},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4147000014781952}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7282000184059143},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.60589998960495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5975000262260437},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.47749999165534973},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C141042865","wikidata":"https://www.wikidata.org/wiki/Q200125","display_name":"Expected value","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3433000147342682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C62100291","wikidata":"https://www.wikidata.org/wiki/Q1936288","display_name":"Total variation","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.2556000053882599},{"id":"https://openalex.org/C128669082","wikidata":"https://www.wikidata.org/wiki/Q583461","display_name":"Randomized algorithm","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1997127735","https://openalex.org/W2964046421","https://openalex.org/W3006008293","https://openalex.org/W4232896127","https://openalex.org/W4234228486","https://openalex.org/W4401693595","https://openalex.org/W4402833823","https://openalex.org/W4403590125"],"related_works":[],"abstract_inverted_index":{"We":[0,14,177],"develop":[1,205],"a":[2,16,52,137,179,206,242],"general":[3,149,175],"framework":[4],"for":[5,190],"clustering":[6,166],"and":[7,65,87,130,162,215,218],"distribution":[8,50],"matching":[9],"problems":[10,145],"with":[11,121,131,194],"bandit":[12,20],"feedback.":[13],"consider":[15],"<tex":[17,26,33,140,153,163,168,200,265],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,27,34,141,154,164,169,201,266],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>-armed":[19],"model":[21],"where":[22],"some":[23],"subset":[24],"of":[25,84,96,99,119,125,157,167,187,224,227,233,253,256],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>":[28,170],"arms":[29,101,120,171],"is":[30,108],"partitioned":[31],"into":[32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$M$</tex>":[35,155],"groups.":[36],"Within":[37],"each":[38,45,56],"group,":[39],"the":[40,48,59,70,82,97,100,103,116,122,184,212,221,234,246,250,261],"random":[41,71],"variable":[42,72],"associated":[43,73],"to":[44,74,109,114,173,260],"arm":[46,64,78,85,126,160,188,225,254],"follows":[47],"same":[49],"on":[51,81,128,183,211,245],"finite":[53],"alphabet.":[54],"At":[55],"time":[57],"step,":[58],"decision":[60,91],"maker":[61,92],"pulls":[62,79,86,127,189,226,255],"an":[63,111,132,195],"observes":[66],"its":[67],"outcome":[68],"from":[69],"that":[75,220,232],"arm.":[76],"Subsequent":[77],"depend":[80],"history":[83],"their":[88],"outcomes.":[89],"The":[90,106],"has":[93],"no":[94],"knowledge":[95],"distributions":[98],"or":[102],"underlying":[104,117],"partitions.":[105],"task":[107],"devise":[110],"online":[112,192,208],"algorithm":[113,193,209,229,258],"learn":[115],"partition":[118],"least":[123],"number":[124,186,223,252],"average":[129,185,222,251],"error":[133,196],"probability":[134,197],"not":[135,198],"exceeding":[136,199],"pre-determined":[138],"value":[139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\delta$</tex>.":[142,202],"Several":[143],"existing":[144],"fall":[146],"under":[147],"our":[148,174,228,257],"framework,":[150],"including":[151],"finding":[152],"pairs":[156],"arms,":[158],"odd":[159],"identification,":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$N$</tex>-ary":[165],"belong":[172],"framework.":[176],"derive":[178],"non-asymptotic":[180],"lower":[181,235],"bound":[182,244],"any":[191],"Furthermore,":[203],"we":[204],"computationally-efficient":[207],"based":[210],"Track-and-Stop":[213],"method":[214],"Frank-Wolfe":[216],"algorithm,":[217],"show":[219],"asymptotically":[230],"matches":[231],"bound.":[236],"Our":[237],"refined":[238],"analysis":[239],"also":[240],"uncovers":[241],"novel":[243],"speed":[247],"at":[248],"which":[249],"converges":[259],"fundamental":[262],"limit":[263],"as":[264],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\delta$</tex>":[267],"vanishes.":[268]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-21T00:00:00"}
