{"id":"https://openalex.org/W2621365674","doi":"https://doi.org/10.1007/s10994-019-05802-5","title":"Efficient learning with robust gradient descent","display_name":"Efficient learning with robust gradient descent","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2621365674","doi":"https://doi.org/10.1007/s10994-019-05802-5","mag":"2621365674"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-019-05802-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05802-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05802-5.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":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05802-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070612925","display_name":"Matthew J. Holland","orcid":"https://orcid.org/0000-0002-6704-1769"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Matthew J. Holland","raw_affiliation_strings":["Osaka University, Mihogaoka 8-1, Ibaraki, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Mihogaoka 8-1, Ibaraki, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062709079","display_name":"Kazushi Ikeda","orcid":"https://orcid.org/0000-0003-3330-6121"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazushi Ikeda","raw_affiliation_strings":["Nara Institute of Science and Technology, Takayama-cho, Ikoma, Nara, 8916-5, Japan"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Takayama-cho, Ikoma, Nara, 8916-5, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070612925"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.4454,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86257701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"108","issue":"8-9","first_page":"1523","last_page":"1560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800392270088196},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6539533138275146},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6252801418304443},{"id":"https://openalex.org/keywords/empirical-risk-minimization","display_name":"Empirical risk minimization","score":0.548242449760437},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.48493412137031555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4832640290260315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4733811914920807},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.45482590794563293},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.4263710379600525},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38100701570510864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22185835242271423},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16420459747314453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800392270088196},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6539533138275146},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6252801418304443},{"id":"https://openalex.org/C107321475","wikidata":"https://www.wikidata.org/wiki/Q5374254","display_name":"Empirical risk minimization","level":2,"score":0.548242449760437},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.48493412137031555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4832640290260315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733811914920807},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.45482590794563293},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.4263710379600525},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38100701570510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22185835242271423},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16420459747314453},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-019-05802-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05802-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05802-5.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"}],"best_oa_location":{"id":"doi:10.1007/s10994-019-05802-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-019-05802-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-019-05802-5.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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2621365674.pdf","grobid_xml":"https://content.openalex.org/works/W2621365674.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W148203283","https://openalex.org/W601863383","https://openalex.org/W1460189015","https://openalex.org/W1506859583","https://openalex.org/W1534416612","https://openalex.org/W1598135513","https://openalex.org/W1753414968","https://openalex.org/W1850992575","https://openalex.org/W1939652453","https://openalex.org/W1980685469","https://openalex.org/W2017753243","https://openalex.org/W2022090913","https://openalex.org/W2040324983","https://openalex.org/W2040364631","https://openalex.org/W2059811159","https://openalex.org/W2105875671","https://openalex.org/W2107438106","https://openalex.org/W2112269233","https://openalex.org/W2124541940","https://openalex.org/W2129192653","https://openalex.org/W2146502635","https://openalex.org/W2166384354","https://openalex.org/W2415274228","https://openalex.org/W2517669009","https://openalex.org/W2559655401","https://openalex.org/W2579923771","https://openalex.org/W2604272474","https://openalex.org/W2614254310","https://openalex.org/W2736273880","https://openalex.org/W2801179766","https://openalex.org/W2952594493","https://openalex.org/W2952782294","https://openalex.org/W2962927523","https://openalex.org/W2963153443","https://openalex.org/W2963572540","https://openalex.org/W2963894774","https://openalex.org/W3025585506","https://openalex.org/W3029645440","https://openalex.org/W3101686246","https://openalex.org/W3104898220","https://openalex.org/W3141595720","https://openalex.org/W4205806204","https://openalex.org/W4252305909","https://openalex.org/W4293775970","https://openalex.org/W6605984295","https://openalex.org/W6618517061","https://openalex.org/W6631919705"],"related_works":["https://openalex.org/W2895097035","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W3020853991","https://openalex.org/W4362706668","https://openalex.org/W4231621013","https://openalex.org/W3171021120","https://openalex.org/W3008318776"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
