{"id":"https://openalex.org/W2794238513","doi":"https://doi.org/10.1007/s10994-019-05787-1","title":"Accelerated gradient boosting","display_name":"Accelerated gradient boosting","publication_year":2019,"publication_date":"2019-02-04","ids":{"openalex":"https://openalex.org/W2794238513","doi":"https://doi.org/10.1007/s10994-019-05787-1","mag":"2794238513"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-019-05787-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05787-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05787-1.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05787-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106038334","display_name":"G\u00e9rard Biau","orcid":"https://orcid.org/0000-0001-8238-4471"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210147464","display_name":"Laboratoire de Probabilit\u00e9s et Mod\u00e8les Al\u00e9atoires","ror":"https://ror.org/04hjc7403","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4210141950","https://openalex.org/I4210147464"]},{"id":"https://openalex.org/I4387155306","display_name":"Laboratoire de Probabilit\u00e9s, Statistique et Mod\u00e9lisation","ror":"https://ror.org/02vnd0e65","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4387155306"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"G. Biau","raw_affiliation_strings":["CNRS, LPSM, Sorbonne Universit\u00e9, Paris, France","LPSM (UMR_8001) - Laboratoire de Probabilit\u00e9s, Statistique et Mod\u00e9lisation (Campus Jussieu Tour 16-26, 1er \u00e9tage 4, Place Jussieu 75005 Paris / \r\n\r\nB\u00e2timent Sophie Germain 5\u00e8me \u00e9tage Avenue de France 75013 Paris - France)"],"raw_orcid":"https://orcid.org/0000-0001-8238-4471","affiliations":[{"raw_affiliation_string":"CNRS, LPSM, Sorbonne Universit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4387155306","https://openalex.org/I1294671590","https://openalex.org/I39804081"]},{"raw_affiliation_string":"LPSM (UMR_8001) - Laboratoire de Probabilit\u00e9s, Statistique et Mod\u00e9lisation (Campus Jussieu Tour 16-26, 1er \u00e9tage 4, Place Jussieu 75005 Paris / \r\n\r\nB\u00e2timent Sophie Germain 5\u00e8me \u00e9tage Avenue de France 75013 Paris - France)","institution_ids":["https://openalex.org/I4210147464","https://openalex.org/I4387155306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055953629","display_name":"Beno\u0131\u0302t Cadre","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210161663","display_name":"Institut de recherche math\u00e9matique de Rennes","ror":"https://ror.org/05y76vp22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2800285241","https://openalex.org/I28221208","https://openalex.org/I3124938446","https://openalex.org/I4210117091","https://openalex.org/I4210141950","https://openalex.org/I4210146044","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Cadre","raw_affiliation_strings":["CNRS, IRMAR, Univ Rennes, Rennes, France","IRMAR - Institut de Recherche Math\u00e9matique de Rennes (Campus de Beaulieu, b\u00e2timents 22 et 23, \r\n263 avenue du G\u00e9n\u00e9ral Leclerc, CS 74205\r\n35042  RENNES C\u00e9dex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, IRMAR, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I4210161663","https://openalex.org/I56067802","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRMAR - Institut de Recherche Math\u00e9matique de Rennes (Campus de Beaulieu, b\u00e2timents 22 et 23, \r\n263 avenue du G\u00e9n\u00e9ral Leclerc, CS 74205\r\n35042  RENNES C\u00e9dex - France)","institution_ids":["https://openalex.org/I4210161663"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114032688","display_name":"Laurent Rouv\u00ec\u00e8re","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210161663","display_name":"Institut de recherche math\u00e9matique de Rennes","ror":"https://ror.org/05y76vp22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2800285241","https://openalex.org/I28221208","https://openalex.org/I3124938446","https://openalex.org/I4210117091","https://openalex.org/I4210141950","https://openalex.org/I4210146044","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Rouvi\u00e8re","raw_affiliation_strings":["CNRS, IRMAR, Univ Rennes, Rennes, France","IRMAR - Institut de Recherche Math\u00e9matique de Rennes (Campus de Beaulieu, b\u00e2timents 22 et 23, \r\n263 avenue du G\u00e9n\u00e9ral Leclerc, CS 74205\r\n35042  RENNES C\u00e9dex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, IRMAR, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I4210161663","https://openalex.org/I56067802","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRMAR - Institut de Recherche Math\u00e9matique de Rennes (Campus de Beaulieu, b\u00e2timents 22 et 23, \r\n263 avenue du G\u00e9n\u00e9ral Leclerc, CS 74205\r\n35042  RENNES C\u00e9dex - France)","institution_ids":["https://openalex.org/I4210161663"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106038334"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4210147464","https://openalex.org/I4387155306"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":13.2007,"has_fulltext":true,"cited_by_count":147,"citation_normalized_percentile":{"value":0.99519578,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"108","issue":"6","first_page":"971","last_page":"992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/boosting","display_name":"Boosting (machine learning)","score":0.6829081773757935},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5513484477996826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927671253681183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4349902272224426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3459431231021881},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.06564086675643921}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6829081773757935},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5513484477996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927671253681183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4349902272224426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3459431231021881},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.06564086675643921}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10994-019-05787-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05787-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05787-1.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1803.02042","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.02042","pdf_url":"https://arxiv.org/pdf/1803.02042","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":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01723843v2","is_oa":true,"landing_page_url":"https://hal.sorbonne-universite.fr/hal-01723843","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 2019, 108 (6), pp.971-992. ⟨10.1007/s10994-019-05787-1⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.1007/s10994-019-05787-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05787-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05787-1.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.46000000834465027,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794238513.pdf","grobid_xml":"https://content.openalex.org/works/W2794238513.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1506859583","https://openalex.org/W1554944419","https://openalex.org/W1564947197","https://openalex.org/W1570060426","https://openalex.org/W1570093865","https://openalex.org/W1678356000","https://openalex.org/W1988790447","https://openalex.org/W2017008479","https://openalex.org/W2023722580","https://openalex.org/W2024046085","https://openalex.org/W2030161963","https://openalex.org/W2035446310","https://openalex.org/W2067885219","https://openalex.org/W2068221105","https://openalex.org/W2070493638","https://openalex.org/W2070534370","https://openalex.org/W2088883866","https://openalex.org/W2092530991","https://openalex.org/W2093717447","https://openalex.org/W2100556411","https://openalex.org/W2107008825","https://openalex.org/W2108263314","https://openalex.org/W2112076978","https://openalex.org/W2124541940","https://openalex.org/W2124768887","https://openalex.org/W2128808713","https://openalex.org/W2135046866","https://openalex.org/W2162139029","https://openalex.org/W2163150561","https://openalex.org/W2167732364","https://openalex.org/W2172195373","https://openalex.org/W2528062157","https://openalex.org/W2736861147","https://openalex.org/W2787894218","https://openalex.org/W2807915830","https://openalex.org/W2911964244","https://openalex.org/W2963326510","https://openalex.org/W2964066689","https://openalex.org/W3098897816","https://openalex.org/W3098965260","https://openalex.org/W3099723433","https://openalex.org/W3102476541","https://openalex.org/W3102661755","https://openalex.org/W3124114587","https://openalex.org/W3141595720","https://openalex.org/W4206742934","https://openalex.org/W6661953458","https://openalex.org/W6675256168","https://openalex.org/W6676249281","https://openalex.org/W6676261111","https://openalex.org/W6676769703","https://openalex.org/W6785540505","https://openalex.org/W6910681941"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}