{"id":"https://openalex.org/W4391751981","doi":"https://doi.org/10.1007/s11222-024-10387-8","title":"COMBSS: best subset selection via continuous optimization","display_name":"COMBSS: best subset selection via continuous optimization","publication_year":2024,"publication_date":"2024-02-12","ids":{"openalex":"https://openalex.org/W4391751981","doi":"https://doi.org/10.1007/s11222-024-10387-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-024-10387-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-024-10387-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-024-10387-8.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-024-10387-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091752605","display_name":"Sarat Moka","orcid":"https://orcid.org/0000-0003-2868-9420"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sarat Moka","raw_affiliation_strings":["School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040962966","display_name":"Beno\u00eet Liquet","orcid":"https://orcid.org/0000-0002-8136-2294"},"institutions":[{"id":"https://openalex.org/I144889574","display_name":"Universit\u00e9 de Pau et des Pays de l'Adour","ror":"https://ror.org/01frn9647","country_code":"FR","type":"education","lineage":["https://openalex.org/I144889574"]},{"id":"https://openalex.org/I4210091673","display_name":"Laboratoire de Math\u00e9matiques et de leurs Applications","ror":"https://ror.org/00g669j87","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I144889574","https://openalex.org/I4210091673","https://openalex.org/I4210141950"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU","FR"],"is_corresponding":false,"raw_author_name":"Benoit Liquet","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques et de leurs Applications, Universit\u00e9 de Pau et des Pays de l\u2019Adour, E2S-UPPA, Pau, France","School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques et de leurs Applications, Universit\u00e9 de Pau et des Pays de l\u2019Adour, E2S-UPPA, Pau, France","institution_ids":["https://openalex.org/I144889574","https://openalex.org/I4210091673"]},{"raw_affiliation_string":"School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070192279","display_name":"Houying Zhu","orcid":"https://orcid.org/0000-0002-2515-7413"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Houying Zhu","raw_affiliation_strings":["School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047479105","display_name":"Samuel M\u00fcller","orcid":"https://orcid.org/0000-0002-3087-8127"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Samuel Muller","raw_affiliation_strings":["School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091752605"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I99043593"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":{"value":2090,"currency":"EUR","value_usd":2690},"fwci":2.9454,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90228193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"34","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9954000115394592,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9954000115394592,"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/feature-selection","display_name":"Feature selection","score":0.6458935141563416},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6031317710876465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5294926762580872},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44589072465896606},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42555487155914307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4128667116165161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3515338897705078},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33379244804382324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3237385153770447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30958399176597595},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11860275268554688}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6458935141563416},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6031317710876465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5294926762580872},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44589072465896606},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42555487155914307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4128667116165161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3515338897705078},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33379244804382324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3237385153770447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30958399176597595},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11860275268554688},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-024-10387-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-024-10387-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-024-10387-8.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04941748v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04941748","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing, 2024, 34 (2), pp.75. ⟨10.1007/s11222-024-10387-8⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.1007/s11222-024-10387-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-024-10387-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-024-10387-8.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1343960141","display_name":null,"funder_award_id":"10100521","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391751981.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1899259633","https://openalex.org/W1955857676","https://openalex.org/W2021621189","https://openalex.org/W2028781966","https://openalex.org/W2042442229","https://openalex.org/W2048305372","https://openalex.org/W2135046866","https://openalex.org/W2149144946","https://openalex.org/W2169257893","https://openalex.org/W2263071834","https://openalex.org/W2509481846","https://openalex.org/W2546982352","https://openalex.org/W2949417153","https://openalex.org/W2963351303","https://openalex.org/W3048822613","https://openalex.org/W3099758428","https://openalex.org/W3111016709","https://openalex.org/W3113216837","https://openalex.org/W3208857029","https://openalex.org/W4200319157","https://openalex.org/W4206550329","https://openalex.org/W4210817556","https://openalex.org/W4391381589","https://openalex.org/W6602157496","https://openalex.org/W6633392134"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489","https://openalex.org/W2371642785"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"problem":[2,55,177],"of":[3,21,37,46,90,111,113,118,125,153,159,162,189],"best":[4,24,72,123,146,169],"subset":[5,20,73,105,124,147,170],"selection":[6,74,148,171],"in":[7,130,134,157],"linear":[8,135],"regression":[9,190],"is":[10,29,39,128,155],"considered":[11],"with":[12,81],"the":[13,26,33,44,121,145,151,163,168],"aim":[14],"to":[15,43,57,64,141],"find":[16],"a":[17,97,104,108,131,174,186],"fixed":[18],"size":[19],"features":[22,38,154],"that":[23,102,116,127],"fits":[25],"response.":[27],"This":[28],"particularly":[30],"challenging":[31],"when":[32,150],"total":[34],"available":[35],"number":[36,45,152],"very":[40],"large":[41,187],"compared":[42],"data":[47],"samples.":[48],"Existing":[49],"optimal":[50,78,129],"methods":[51,62,70,79,89],"for":[52,120,182,185],"solving":[53],"this":[54],"tend":[56,63],"be":[58,142],"slow":[59],"while":[60],"fast":[61],"have":[65],"low":[66],"accuracy.":[67],"Ideally,":[68],"new":[69,179],"perform":[71],"faster":[75],"than":[76,88],"existing":[77],"but":[80],"comparable":[82,91],"accuracy,":[83],"or,":[84],"being":[85],"more":[86],"accurate":[87],"computational":[92],"speed.":[93],"Here,":[94],"we":[95],"propose":[96],"novel":[98],"continuous":[99,175],"optimization":[100,176],"method":[101,138],"identifies":[103],"solution":[106],"path,":[107],"small":[109],"set":[110],"models":[112],"varying":[114],"size,":[115],"consists":[117],"candidates":[119],"single":[122],"features,":[126],"specific":[132],"sense":[133],"regression.":[136],"Our":[137],"turns":[139],"out":[140],"fast,":[143],"making":[144],"possible":[149],"well":[156],"excess":[158],"thousands.":[160],"Because":[161],"outstanding":[164],"overall":[165],"performance,":[166],"framing":[167],"challenge":[172],"as":[173],"opens":[178],"research":[180],"directions":[181],"feature":[183],"extraction":[184],"variety":[188],"models.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}