{"id":"https://openalex.org/W1757098471","doi":"https://doi.org/10.1109/tsp.2015.2447503","title":"Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso","display_name":"Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso","publication_year":2015,"publication_date":"2015-06-19","ids":{"openalex":"https://openalex.org/W1757098471","doi":"https://doi.org/10.1109/tsp.2015.2447503","mag":"1757098471"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2447503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2447503","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1412.4080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038708187","display_name":"Antoine Bonnefoy","orcid":"https://orcid.org/0000-0003-1720-7326"},"institutions":[{"id":"https://openalex.org/I4210115196","display_name":"Laboratoire d\u2019Informatique Fondamentale de Marseille","ror":"https://ror.org/022my8t07","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210115196","https://openalex.org/I4210142724","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antoine Bonnefoy","raw_affiliation_strings":["LIF, Aix-Marseille University, Marseille, France","LIF, Aix-Marseille Univ., Marseille, France"],"affiliations":[{"raw_affiliation_string":"LIF, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I4210115196","https://openalex.org/I21491767"]},{"raw_affiliation_string":"LIF, Aix-Marseille Univ., Marseille, France","institution_ids":["https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064634255","display_name":"Valentin Emiya","orcid":"https://orcid.org/0000-0001-7102-6943"},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I4210115196","display_name":"Laboratoire d\u2019Informatique Fondamentale de Marseille","ror":"https://ror.org/022my8t07","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210115196","https://openalex.org/I4210142724","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Valentin Emiya","raw_affiliation_strings":["LIF, Aix-Marseille University, Marseille, France","LIF, Aix-Marseille Univ., Marseille, France"],"affiliations":[{"raw_affiliation_string":"LIF, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I4210115196","https://openalex.org/I21491767"]},{"raw_affiliation_string":"LIF, Aix-Marseille Univ., Marseille, France","institution_ids":["https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018614433","display_name":"Liva Ralaivola","orcid":"https://orcid.org/0000-0002-4571-1119"},"institutions":[{"id":"https://openalex.org/I4210115196","display_name":"Laboratoire d\u2019Informatique Fondamentale de Marseille","ror":"https://ror.org/022my8t07","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210115196","https://openalex.org/I4210142724","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Liva Ralaivola","raw_affiliation_strings":["LIF, Aix-Marseille University, Marseille, France","LIF, Aix-Marseille Univesity, Marseille, France"],"affiliations":[{"raw_affiliation_string":"LIF, Aix-Marseille University, Marseille, France","institution_ids":["https://openalex.org/I4210115196","https://openalex.org/I21491767"]},{"raw_affiliation_string":"LIF, Aix-Marseille Univesity, Marseille, France","institution_ids":["https://openalex.org/I4210115196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041230403","display_name":"R\u00e9mi Gribonval","orcid":"https://orcid.org/0000-0002-9450-8125"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Gribonval","raw_affiliation_strings":["IRISA, Projet PANAMA, Rennes cedex, France","Projet PANAMA, IRISA, Rennes cedex, France"],"affiliations":[{"raw_affiliation_string":"IRISA, Projet PANAMA, Rennes cedex, France","institution_ids":["https://openalex.org/I2802519937"]},{"raw_affiliation_string":"Projet PANAMA, IRISA, Rennes cedex, France","institution_ids":["https://openalex.org/I2802519937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038708187"],"corresponding_institution_ids":["https://openalex.org/I21491767","https://openalex.org/I4210115196"],"apc_list":null,"apc_paid":null,"fwci":5.0089,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.95422674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":"19","first_page":"5121","last_page":"5132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9947999715805054,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9854999780654907,"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/algorithm","display_name":"Algorithm","score":0.6860721111297607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6602942943572998},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6331575512886047},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5188040137290955},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.488064169883728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4248761236667633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.300967276096344}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6860721111297607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602942943572998},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6331575512886047},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5188040137290955},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.488064169883728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4248761236667633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.300967276096344},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2015.2447503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2447503","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1412.4080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1412.4080","pdf_url":"https://arxiv.org/pdf/1412.4080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-01084986v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01084986","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2015, 63 (19), pp.20. ⟨10.1109/TSP.2015.2447503⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1412.4080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1412.4080","pdf_url":"https://arxiv.org/pdf/1412.4080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5704530987","display_name":null,"funder_award_id":"ERC-StG-2011-277906","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1543911290","https://openalex.org/W1573785613","https://openalex.org/W1618978521","https://openalex.org/W1876052200","https://openalex.org/W1970554427","https://openalex.org/W1986931325","https://openalex.org/W1989750028","https://openalex.org/W1999905919","https://openalex.org/W2006262045","https://openalex.org/W2028349405","https://openalex.org/W2063978378","https://openalex.org/W2078204800","https://openalex.org/W2092663520","https://openalex.org/W2097620183","https://openalex.org/W2100556411","https://openalex.org/W2112495313","https://openalex.org/W2112796928","https://openalex.org/W2115706991","https://openalex.org/W2116148865","https://openalex.org/W2126607811","https://openalex.org/W2129812935","https://openalex.org/W2131060185","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2151693816","https://openalex.org/W2152204644","https://openalex.org/W2169301591","https://openalex.org/W2231059058","https://openalex.org/W2296319761","https://openalex.org/W2614458381","https://openalex.org/W2797302609","https://openalex.org/W2936995161","https://openalex.org/W4250589301","https://openalex.org/W4301013421","https://openalex.org/W6634245187","https://openalex.org/W6639387773","https://openalex.org/W6674848032","https://openalex.org/W6677113535","https://openalex.org/W6689777920"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4256576576","https://openalex.org/W3090384609","https://openalex.org/W3194013178","https://openalex.org/W4249086404","https://openalex.org/W4236464082","https://openalex.org/W2790019364","https://openalex.org/W2212119398","https://openalex.org/W4362499101"],"abstract_inverted_index":{"Recent":[0],"computational":[1,35],"strategies":[2],"based":[3],"on":[4,188],"screening":[5,110,116,144,164,172,202],"tests":[6,165,173],"have":[7],"been":[8],"proposed":[9],"to":[10,37,65,82,106,166,174],"accelerate":[11],"algorithms":[12,161],"addressing":[13],"penalized":[14],"sparse":[15],"regression":[16,54,96],"problems":[17],"such":[18],"as":[19,191,193],"the":[20,26,45,53,66,69,84,95,103,119,137,168,176,201,205],"Lasso.":[21],"Such":[22],"approaches":[23],"build":[24],"upon":[25],"idea":[27],"that":[28,52,74],"it":[29,153],"is":[30,76,123],"worth":[31],"dedicating":[32],"some":[33],"small":[34],"effort":[36],"locate":[38],"inactive":[39],"atoms":[40],"and":[41,86,133,151,196,204],"remove":[42],"them":[43],"from":[44],"dictionary":[46,60,85,122],"in":[47,146,182,207],"a":[48,58,88,108,147,157,183],"preprocessing":[49],"stage":[50],"so":[51],"algorithm":[55,104],"working":[56],"with":[57,114],"smaller":[59],"will":[61],"then":[62],"converge":[63],"faster":[64],"solution":[67],"of":[68,94,102,128,159,186,209],"initial":[70],"problem.":[71],"We":[72,140],"believe":[73],"there":[75],"an":[77],"even":[78],"more":[79],"efficient":[80],"way":[81],"screen":[83],"obtain":[87,107],"greater":[89],"acceleration:":[90],"inside":[91,156],"each":[92],"iteration":[93],"algorithm,":[97],"one":[98],"may":[99],"take":[100],"advantage":[101],"computations":[105],"new":[109,171],"test":[111],"for":[112,134],"free":[113],"increasing":[115],"effects":[117],"along":[118],"iterations.":[120],"The":[121],"henceforth":[124],"dynamically":[125],"screened":[126,130],"instead":[127],"being":[129],"statically,":[131],"once":[132],"all,":[135],"before":[136],"first":[138],"iteration.":[139],"formalize":[141],"this":[142],"dynamic":[143],"principle":[145],"general":[148],"algorithmic":[149],"scheme":[150],"apply":[152],"by":[154],"embedding":[155],"number":[158],"first-order":[160],"adapted":[162],"existing":[163],"solve":[167,175],"Lasso":[169],"or":[170],"Group-Lasso.":[177],"Computational":[178],"gains":[179],"are":[180],"assessed":[181],"large":[184],"set":[185],"experiments":[187],"synthetic":[189],"data":[190],"well":[192],"real-world":[194],"sounds":[195],"images.":[197],"They":[198],"show":[199],"both":[200],"efficiency":[203],"gain":[206],"terms":[208],"running":[210],"times.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}