{"id":"https://openalex.org/W7123361456","doi":"https://doi.org/10.1109/lcsys.2026.3653302","title":"Stochastic Coordinate Descent via Regret Minimization","display_name":"Stochastic Coordinate Descent via Regret Minimization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7123361456","doi":"https://doi.org/10.1109/lcsys.2026.3653302"},"language":null,"primary_location":{"id":"doi:10.1109/lcsys.2026.3653302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2026.3653302","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-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/A5102977429","display_name":"Yankai Lin","orcid":"https://orcid.org/0000-0001-6689-1422"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yankai Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044211830","display_name":"Xiaopuwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopuwen Wang","raw_affiliation_strings":["School of Automation and Electrical Engineering, Chengdu Technological University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Chengdu Technological University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102977429"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82699999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"3155","last_page":"3160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9521999955177307,"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"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9521999955177307,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.012000000104308128,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0066999997943639755,"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":0.730400025844574},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.7275999784469604},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.666700005531311},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6187000274658203},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5710999965667725},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47209998965263367},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.46939998865127563},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46639999747276306}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.730400025844574},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.7275999784469604},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.666700005531311},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6187000274658203},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.613099992275238},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5710999965667725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5152999758720398},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.46059998869895935},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4207000136375427},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.4004000127315521},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3677999973297119},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2026.3653302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2026.3653302","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3044402677","display_name":null,"funder_award_id":"25QD016","funder_id":"https://openalex.org/F4320325438","funder_display_name":"Wuhan Institute of Technology"},{"id":"https://openalex.org/G365612889","display_name":null,"funder_award_id":"2024RC019","funder_id":"https://openalex.org/F4320328111","funder_display_name":"Chengdu University"}],"funders":[{"id":"https://openalex.org/F4320325438","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16"},{"id":"https://openalex.org/F4320328111","display_name":"Chengdu University","ror":"https://ror.org/034z67559"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2000769684","https://openalex.org/W2044212084","https://openalex.org/W2071983464","https://openalex.org/W2095984592","https://openalex.org/W2513180554","https://openalex.org/W2768597362","https://openalex.org/W2902440224","https://openalex.org/W2903367700","https://openalex.org/W2913664433","https://openalex.org/W2963607435","https://openalex.org/W2963732316","https://openalex.org/W2964309292","https://openalex.org/W2996906268","https://openalex.org/W3028099389","https://openalex.org/W3128979090","https://openalex.org/W3136702032","https://openalex.org/W3176081970","https://openalex.org/W3181114927","https://openalex.org/W3215152198","https://openalex.org/W4243772471","https://openalex.org/W4256160828","https://openalex.org/W4292022450","https://openalex.org/W4385128238","https://openalex.org/W4385734266","https://openalex.org/W4388268407","https://openalex.org/W4394586218","https://openalex.org/W4394952296","https://openalex.org/W4400620472","https://openalex.org/W4401507013","https://openalex.org/W4403863264","https://openalex.org/W4407690828","https://openalex.org/W4412420182"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,24,166],"investigate":[4],"the":[5,17,56,62,99,102,140,147,150,154,158,178],"performance":[6,156],"of":[7,20,58,101,149,157],"stochastic":[8,27,42,73,103],"coordinate":[9,28],"descent":[10,75],"algorithms":[11,78],"for":[12,118],"convex":[13,109,121],"optimization":[14,110,122],"problems":[15],"from":[16],"novel":[18],"perspective":[19],"regret":[21,145],"minimization.":[22],"Specifically,":[23],"consider":[25],"a":[26,107,161,173],"selection":[29,43],"rule":[30],"that":[31,45,55,82,98,124],"might":[32],"vary":[33],"over":[34],"time,":[35],"whereas":[36],"existing":[37,51,94],"results":[38,170],"commonly":[39],"focus":[40],"on":[41],"rules":[44],"remain":[46],"fixed.":[47],"Moreover,":[48],"unlike":[49],"most":[50],"results,":[52],"which":[53],"assume":[54],"expectation":[57],"algorithm":[59,104,117,142,159],"updates":[60,100],"follows":[61],"exact":[63],"negative":[64],"gradient":[65,74],"direction,":[66],"our":[67,84,89,168],"framework":[68],"is":[69],"applicable":[70],"to":[71,105],"any":[72],"(SGD)":[76],"like":[77],"with":[79],"estimated":[80],"gradients":[81],"satisfy":[83],"main":[85],"assumption,":[86],"thus":[87],"making":[88],"approach":[90],"more":[91],"general":[92],"than":[93],"results.":[95],"We":[96,133],"show":[97],"solve":[106],"standard":[108],"problem":[111,123,176],"also":[112],"serve":[113],"as":[114],"an":[115,119],"online":[116,120,141],"has":[125],"time-varying":[126],"cost":[127],"functions":[128],"at":[129],"each":[130],"time":[131,163],"step.":[132],"prove":[134],"that,":[135],"under":[136],"relatively":[137],"weak":[138],"assumptions,":[139],"achieves":[143],"sublinear":[144],"against":[146],"solution":[148],"problem,":[151],"therefore":[152],"ensuring":[153],"average":[155],"within":[160],"finite":[162],"window.":[164],"Finally,":[165],"verify":[167],"theoretical":[169],"by":[171],"solving":[172],"linear":[174],"regression":[175],"using":[177],"proposed":[179],"algorithm.":[180]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}