{"id":"https://openalex.org/W4214849735","doi":"https://doi.org/10.1109/ieeeconf53345.2021.9723349","title":"Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors","display_name":"Sparse Reduced-Rank Regression With Adaptive Selection of Groups of Predictors","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W4214849735","doi":"https://doi.org/10.1109/ieeeconf53345.2021.9723349"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf53345.2021.9723349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf53345.2021.9723349","pdf_url":null,"source":{"id":"https://openalex.org/S4363607877","display_name":"2021 55th Asilomar Conference on Signals, Systems, and Computers","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":"2021 55th Asilomar Conference on Signals, Systems, and Computers","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/A5101644949","display_name":"Quanmin Wei","orcid":"https://orcid.org/0000-0001-5108-3270"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Wei","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430745","display_name":"Yujia Zhang","orcid":"https://orcid.org/0009-0000-8681-7940"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Zhang","raw_affiliation_strings":["East China Normal University,School of Mathematical Sciences,Shanghai,China","School of Mathematical Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Mathematical Sciences,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Mathematical Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074721617","display_name":"Ziping Zhao","orcid":"https://orcid.org/0000-0002-8668-6263"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziping Zhao","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4919,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83308824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9592999815940857,"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/lasso","display_name":"Lasso (programming language)","score":0.6696102619171143},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6633524894714355},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.546812117099762},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.544996976852417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5415717363357544},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.48649877309799194},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48307111859321594},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4726097881793976},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.4525146782398224},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.449844092130661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4334664046764374},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4250730574131012},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4197167158126831},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41553008556365967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3194150924682617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3076419234275818},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16475895047187805}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6696102619171143},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6633524894714355},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.546812117099762},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.544996976852417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415717363357544},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.48649877309799194},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48307111859321594},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4726097881793976},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.4525146782398224},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.449844092130661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4334664046764374},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4250730574131012},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4197167158126831},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41553008556365967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3194150924682617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3076419234275818},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16475895047187805},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf53345.2021.9723349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf53345.2021.9723349","pdf_url":null,"source":{"id":"https://openalex.org/S4363607877","display_name":"2021 55th Asilomar Conference on Signals, Systems, and Computers","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":"2021 55th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W171393630","https://openalex.org/W1916786071","https://openalex.org/W2050968963","https://openalex.org/W2054121219","https://openalex.org/W2103453943","https://openalex.org/W2110065044","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138049103","https://openalex.org/W2141366416","https://openalex.org/W2144089967","https://openalex.org/W2323665732","https://openalex.org/W2418848710","https://openalex.org/W2464749053","https://openalex.org/W2508393166","https://openalex.org/W2582533304","https://openalex.org/W2766292535","https://openalex.org/W2912400541","https://openalex.org/W2962967935","https://openalex.org/W2963325939","https://openalex.org/W3122229960","https://openalex.org/W4241492945","https://openalex.org/W4244393449","https://openalex.org/W4244633107","https://openalex.org/W4251038355","https://openalex.org/W6717170449","https://openalex.org/W6719963174"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W2982361083","https://openalex.org/W2429564919","https://openalex.org/W2147626660","https://openalex.org/W3122163254","https://openalex.org/W2800240633","https://openalex.org/W2600746833","https://openalex.org/W4210819044","https://openalex.org/W4323557163","https://openalex.org/W2548544908"],"abstract_inverted_index":{"Sparse":[0],"reduced-rank":[1],"regression":[2],"(SRRR)":[3],"model":[4,112],"has":[5],"been":[6],"widely":[7],"used":[8],"for":[9,91],"dimension":[10],"reduction":[11],"and":[12],"variable":[13,60],"selection":[14],"with":[15,54,122],"wide":[16],"applications":[17],"in":[18,113],"machine":[19],"learning,":[20],"signal":[21],"processing,":[22],"econometrics,":[23],"etc.":[24],"In":[25],"this":[26],"paper,":[27],"the":[28,39,50,85,100,103,110,125],"SRRR":[29],"estimation":[30,65],"problem":[31,45,93],"is":[32,46,73,80,89,116],"investigated":[33],"which":[34],"aims":[35],"at":[36],"adaptively":[37],"selecting":[38],"whole":[40],"group":[41],"of":[42,102,109],"predictors.":[43],"The":[44,106],"formulated":[47],"to":[48,124],"minimize":[49],"least":[51],"squares":[52],"loss":[53],"a":[55,62,76],"sparsity-inducing":[56],"penalty.":[57],"For":[58],"effective":[59],"selection,":[61],"novel":[63],"sparse":[64],"scheme,":[66],"called":[67],"Sorted":[68],"L-One":[69],"Penalized":[70],"Estimation":[71],"(SLOPE),":[72],"considered,":[74],"where":[75],"group-SLOPE":[77],"type":[78],"penalty":[79],"adopted.":[81],"An":[82],"algorithm":[83],"leveraging":[84],"block":[86],"majorization-minimization":[87],"framework":[88],"developed":[90],"efficient":[92],"resolution.":[94],"Simulations":[95],"on":[96,119],"synthetic":[97],"data":[98,121],"illustrate":[99],"effectiveness":[101],"proposed":[104,111],"algorithm.":[105],"competitive":[107],"performance":[108],"prediction":[114],"accuracy":[115],"numerically":[117],"demonstrated":[118],"real":[120],"comparison":[123],"state-of-the-art":[126],"methods.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}