{"id":"https://openalex.org/W3123469853","doi":"https://doi.org/10.1109/scisisis50064.2020.9322765","title":"Adapting the Learning Rate of the Learning Rate in Hypergradient Descent","display_name":"Adapting the Learning Rate of the Learning Rate in Hypergradient Descent","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3123469853","doi":"https://doi.org/10.1109/scisisis50064.2020.9322765","mag":"3123469853"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis50064.2020.9322765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/80339/1/itakura-scisisis2020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013712173","display_name":"Kazuma Itakura","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuma Itakura","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024780466","display_name":"Kyohei Atarashi","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyohei Atarashi","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056709028","display_name":"Satoshi Oyama","orcid":"https://orcid.org/0000-0002-8124-3578"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Oyama","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054412358","display_name":"Masahito Kurihara","orcid":"https://orcid.org/0000-0002-1478-1093"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahito Kurihara","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013712173"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71355734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998999834060669,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998999834060669,"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":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7096257209777832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404617428779602},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6337853074073792},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6148290634155273},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.598533570766449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5434517860412598},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1741311252117157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06632605195045471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096257209777832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404617428779602},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6337853074073792},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6148290634155273},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.598533570766449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5434517860412598},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1741311252117157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06632605195045471},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/scisisis50064.2020.9322765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis50064.2020.9322765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/80339","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/80339","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/80339/1/itakura-scisisis2020.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings"}],"best_oa_location":{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/80339","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/80339","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/80339/1/itakura-scisisis2020.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3123469853.pdf","grobid_xml":"https://content.openalex.org/works/W3123469853.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W607505555","https://openalex.org/W1487463423","https://openalex.org/W1522301498","https://openalex.org/W1868018859","https://openalex.org/W2146502635","https://openalex.org/W2606101940","https://openalex.org/W2963233958","https://openalex.org/W2963326510","https://openalex.org/W2963577254","https://openalex.org/W2964121744","https://openalex.org/W4206742934","https://openalex.org/W4236362309","https://openalex.org/W4293402910","https://openalex.org/W6629406387","https://openalex.org/W6631190155","https://openalex.org/W6639506587","https://openalex.org/W6681435938","https://openalex.org/W6735487127"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Gradient":[0],"descent":[1],"is":[2,14],"a":[3],"widely":[4],"used":[5],"optimization":[6,90],"method.":[7],"The":[8],"adjustment":[9,99],"of":[10,54,66,85,100],"the":[11,31,41,51,55,63,67,78,83,101,105],"learning":[12,32,42,56,64,68,79,102],"rate":[13,43,53,65,69,103],"an":[15,59,97],"important":[16],"factor":[17],"in":[18,73],"improving":[19],"its":[20],"performance,":[21],"and":[22,58,88,95,110],"many":[23],"researchers":[24],"have":[25],"investigated":[26,82],"methods":[27,91],"for":[28,62,92],"automatically":[29,39],"adjusting":[30],"rate.":[33,80],"One":[34],"such":[35],"method,":[36],"hypergradient":[37],"descent,":[38],"adjusts":[40],"by":[44],"using":[45],"gradient":[46],"descent.":[47],"However,":[48],"it":[49],"introduces":[50],"\u201clearning":[52],"rate,\u201d":[57],"appropriate":[60],"value":[61],"must":[70],"be":[71],"chosen":[72],"order":[74],"to":[75],"effectively":[76],"adjust":[77],"We":[81],"use":[84],"two":[86,89],"datasets":[87],"doing":[93],"this":[94],"achieved":[96],"effective":[98],"when":[104],"objective":[106],"function":[107],"was":[108],"convex":[109],"<tex":[111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$L$</tex>":[113],"-smooth.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}