{"id":"https://openalex.org/W2905050294","doi":"https://doi.org/10.1609/aaai.v33i01.33013689","title":"Using Benson\u2019s Algorithm for Regularization Parameter Tracking","display_name":"Using Benson\u2019s Algorithm for Regularization Parameter Tracking","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2905050294","doi":"https://doi.org/10.1609/aaai.v33i01.33013689","mag":"2905050294"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33013689","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013689","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33013689","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027313464","display_name":"Joachim Giesen","orcid":"https://orcid.org/0000-0001-6598-6833"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Giesen","raw_affiliation_strings":["Friedrich Schiller University Jena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich Schiller University Jena","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091320755","display_name":"S\u00f6ren Laue","orcid":null},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S\u04e7ren Laue","raw_affiliation_strings":["Friedrich Schiller University Jena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich Schiller University Jena","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000972738","display_name":"Andreas L\u00f6hne","orcid":"https://orcid.org/0000-0003-0872-4735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas L\u04e7hne","raw_affiliation_strings":["University of Jena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jena","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089564538","display_name":"Christopher Schneider","orcid":"https://orcid.org/0000-0003-2903-8347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Schneider","raw_affiliation_strings":["University of Jena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jena","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9884,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88525963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":"01","first_page":"3689","last_page":"3696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9936000108718872,"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":0.9936000108718872,"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/T11236","display_name":"Control Systems and Identification","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/regularization","display_name":"Regularization (linguistics)","score":0.7753286361694336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6265410780906677},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.59902024269104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49775269627571106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47005000710487366},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4187672436237335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.393799751996994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17216232419013977}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7753286361694336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6265410780906677},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.59902024269104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49775269627571106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47005000710487366},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4187672436237335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.393799751996994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17216232419013977},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33013689","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013689","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4253","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4253","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4253/4131","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33013689","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013689","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309895","display_name":"Carl-Zeiss-Stiftung","ror":"https://ror.org/03ng4kg22"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W251973404","https://openalex.org/W1495119384","https://openalex.org/W1552009253","https://openalex.org/W1585268704","https://openalex.org/W1896556241","https://openalex.org/W1910122091","https://openalex.org/W2048944090","https://openalex.org/W2054372248","https://openalex.org/W2055586095","https://openalex.org/W2056636001","https://openalex.org/W2057682568","https://openalex.org/W2061810505","https://openalex.org/W2063978378","https://openalex.org/W2097998348","https://openalex.org/W2100658528","https://openalex.org/W2122825543","https://openalex.org/W2129697675","https://openalex.org/W2130698119","https://openalex.org/W2133958955","https://openalex.org/W2143628714","https://openalex.org/W2146258363","https://openalex.org/W2147197303","https://openalex.org/W2218569681","https://openalex.org/W2785412442","https://openalex.org/W2887258045","https://openalex.org/W2962737507","https://openalex.org/W2963576992","https://openalex.org/W3100995391","https://openalex.org/W3106348863","https://openalex.org/W6664862776","https://openalex.org/W6664875265","https://openalex.org/W6666708836","https://openalex.org/W6674385629","https://openalex.org/W6679294143","https://openalex.org/W6679676526","https://openalex.org/W6681526255","https://openalex.org/W6785583277"],"related_works":["https://openalex.org/W1965977581","https://openalex.org/W2061980133","https://openalex.org/W45494237","https://openalex.org/W1993570333","https://openalex.org/W2387685679","https://openalex.org/W4298004047","https://openalex.org/W2077506191","https://openalex.org/W3134728064","https://openalex.org/W2050855072","https://openalex.org/W2374214022"],"abstract_inverted_index":{"Regularized":[0],"loss":[1,15,84],"minimization,":[2],"where":[3],"a":[4,14,97,122,156],"statistical":[5,30],"model":[6],"is":[7,21,74,99,130],"obtained":[8],"from":[9,115,159],"minimizing":[10],"the":[11,33,38,52,56,65,76,83,102,110,125,142,163,177,184,193],"sum":[12],"of":[13,32,40,82,94,179,195],"function":[16],"and":[17,136],"weighted":[18],"regularization":[19,54,199],"terms,":[20],"still":[22],"in":[23,26,134,141],"widespread":[24],"use":[25],"machine":[27],"learning.":[28],"The":[29,92],"performance":[31],"resulting":[34],"models":[35],"depends":[36],"on":[37,124,147,187],"choice":[39],"weights":[41],"(regularization":[42],"parameters)":[43],"that":[44,144,155],"are":[45,138],"typically":[46],"tuned":[47],"by":[48],"cross-validation.":[49],"For":[50,118],"finding":[51],"best":[53],"parameters,":[55],"regularized":[57],"minimization":[58,85],"problem":[59,86,93,113,148],"needs":[60],"to":[61,132],"be":[62,167],"solved":[63],"for":[64,87,109,170,183,198],"whole":[66],"parameter":[67,77,126,200],"domain.":[68],"A":[69],"practically":[70],"more":[71],"feasible":[72],"approach":[73],"covering":[75,98],"domain":[78,127],"with":[79],"approximate":[80,103,172],"solutions":[81],"some":[88],"prescribed":[89],"approximation":[90],"accuracy.":[91],"computing":[95,171],"such":[96],"known":[100],"as":[101],"solution":[104,111,173],"gamut":[105,112],"problem.":[106],"Existing":[107],"algorithms":[108],"suffer":[114],"several":[116],"problems.":[117],"instance,":[119],"they":[120,137,145],"require":[121],"grid":[123],"whose":[128],"spacing":[129],"difficult":[131],"determine":[133],"practice,":[135],"not":[139],"generic":[140],"sense":[143],"rely":[146],"specific":[149],"plug-in":[150],"functions.":[151],"Here,":[152],"we":[153],"show":[154],"well-known":[157],"algorithm":[158,197],"vector":[160],"optimization,":[161],"namely":[162],"Benson":[164],"algorithm,":[165],"can":[166],"used":[168],"directly":[169],"gamuts":[174],"while":[175],"avoiding":[176],"problems":[178],"existing":[180],"algorithms.":[181],"Experiments":[182],"Elastic":[185],"Net":[186],"real":[188],"world":[189],"data":[190],"sets":[191],"demonstrate":[192],"effectiveness":[194],"Benson\u2019s":[196],"tracking.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
