{"id":"https://openalex.org/W2167474603","doi":null,"title":"Efficient Methods for Overlapping Group Lasso","display_name":"Efficient Methods for Overlapping Group Lasso","publication_year":2011,"publication_date":"2011-12-12","ids":{"openalex":"https://openalex.org/W2167474603","mag":"2167474603"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.8277","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.8277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips24/NIPS2011_0252.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100633051","display_name":"Lei Yuan","orcid":"https://orcid.org/0000-0003-0826-648X","observed_orcids":["https://orcid.org/0000-0003-0826-648X"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Yuan","raw_affiliation_strings":["Arizona State University, Tempe AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362043","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0003-1904-2350","observed_orcids":["https://orcid.org/0000-0003-1904-2350"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Arizona State University, Tempe AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010419481","display_name":"Jieping Ye","orcid":"https://orcid.org/0000-0001-8662-5818","observed_orcids":["https://orcid.org/0000-0001-8662-5818"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieping Ye","raw_affiliation_strings":["Arizona State University, Tempe AZ"],"raw_orcid":"https://orcid.org/0000-0001-8662-5818","affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":7.9034,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.97999509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"352","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":9.999999747378752e-05,"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/proximal-operator","display_name":"proximal operator","score":0.7860000133514404},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.699999988079071},{"id":"https://openalex.org/keywords/group-sparsity","display_name":"group sparsity","score":0.527999997138977},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"convex optimization","score":0.5680000185966492},{"id":"https://openalex.org/keywords/dual-problem","display_name":"dual problem","score":0.8659999966621399},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"gradient descent","score":0.8259999752044678},{"id":"https://openalex.org/keywords/breast-cancer-gene-expression","display_name":"breast cancer gene expression","score":0.8140000104904175},{"id":"https://openalex.org/keywords/gene-sets","display_name":"gene sets","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.7761799097061157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425617694854736},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5238440036773682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5012927055358887},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49038219451904297},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4603855609893799},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43604201078414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32304152846336365},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09170523285865784},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06834402680397034},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.8277","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.8277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips24/NIPS2011_0252.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.955.1663","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.955.1663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://papers.nips.cc/paper/4275-efficient-methods-for-overlapping-group-lasso.pdf","raw_type":"text"},{"id":"mag:2167474603","doi":null,"is_oa":false,"landing_page_url":"http://books.nips.cc/papers/files/nips24/NIPS2011_0252.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W33214042","https://openalex.org/W64096456","https://openalex.org/W1497745584","https://openalex.org/W1564354676","https://openalex.org/W1871180460","https://openalex.org/W1953936588","https://openalex.org/W1970554427","https://openalex.org/W1994309289","https://openalex.org/W2000125728","https://openalex.org/W2012653948","https://openalex.org/W2038497950","https://openalex.org/W2056636001","https://openalex.org/W2079491734","https://openalex.org/W2100556411","https://openalex.org/W2104323334","https://openalex.org/W2106398669","https://openalex.org/W2108687351","https://openalex.org/W2116775748","https://openalex.org/W2130410032","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138228305","https://openalex.org/W2154947819","https://openalex.org/W2160450758","https://openalex.org/W2164278908","https://openalex.org/W2964102750","https://openalex.org/W3141595720"],"related_works":["https://openalex.org/W2101594602","https://openalex.org/W2092245813","https://openalex.org/W4309393908","https://openalex.org/W2126976013","https://openalex.org/W4388093053","https://openalex.org/W179182636","https://openalex.org/W6959507743","https://openalex.org/W2007530683","https://openalex.org/W1962147060","https://openalex.org/W2209420799"],"abstract_inverted_index":{"The":[0,18,51],"group":[1,20,64,77,94],"Lasso":[2,8,78],"is":[3,156],"an":[4],"extension":[5],"of":[6,16,41,74,86,113,118,141],"the":[7,49,63,71,75,87,92,98,103,111,114,121,132,153],"for":[9,120],"feature":[10],"selection":[11],"on":[12],"(predefined)":[13],"non-overlapping":[14,19],"groups":[15,40],"features.":[17],"structure":[21],"limits":[22],"its":[23],"applicability":[24],"in":[25],"practice.":[26],"There":[27],"have":[28,124],"been":[29],"several":[30,83],"recent":[31],"attempts":[32],"to":[33,59,62],"study":[34],"a":[35],"more":[36,57,157],"general":[37],"formulation,":[38],"where":[39],"features":[42],"are":[43],"given,":[44],"potentially":[45],"with":[46,91],"overlaps":[47],"between":[48],"groups.":[50],"resulting":[52],"optimization":[53,73],"is,":[54],"however,":[55],"much":[56],"challenging":[58],"solve":[60],"due":[61],"overlaps.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"consider":[70],"effi-cient":[72],"overlapping":[76,93],"penalized":[79],"problem.":[80],"We":[81,123],"reveal":[82],"key":[84],"properties":[85],"proximal":[88,99],"operator":[89,100],"associated":[90],"Lasso,":[95],"and":[96,105,131],"compute":[97],"by":[101],"solving":[102],"smooth":[104],"con-vex":[106],"dual":[107],"problem,":[108],"which":[109,139],"allows":[110],"use":[112],"gradient":[115],"descent":[116],"type":[117],"algorithms":[119],"optimization.":[122],"performed":[125],"empirical":[126],"evaluations":[127],"using":[128],"both":[129],"syn-thetic":[130],"breast":[133],"cancer":[134],"gene":[135,147],"expression":[136],"data":[137],"set,":[138],"consists":[140],"8,141":[142],"genes":[143],"organized":[144],"into":[145],"(overlapping)":[146],"sets.":[148],"Experimental":[149],"results":[150],"show":[151],"that":[152],"proposed":[154],"algorithm":[155],"efficient":[158],"than":[159],"existing":[160],"state-of-the-art":[161],"algorithms.":[162],"1":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
