{"id":"https://openalex.org/W3008961984","doi":"https://doi.org/10.1007/s11590-020-01550-x","title":"A linearly convergent stochastic recursive gradient method for convex optimization","display_name":"A linearly convergent stochastic recursive gradient method for convex optimization","publication_year":2020,"publication_date":"2020-02-17","ids":{"openalex":"https://openalex.org/W3008961984","doi":"https://doi.org/10.1007/s11590-020-01550-x","mag":"3008961984"},"language":"en","primary_location":{"id":"doi:10.1007/s11590-020-01550-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-020-01550-x","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"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":"Optimization Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100351055","display_name":"Yan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079876496","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-3492-9235"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100561359","display_name":"Tiande Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiande Guo","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100351055"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.6461,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86976177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"8","first_page":"2265","last_page":"2283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9976000189781189,"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/convexity","display_name":"Convexity","score":0.8301310539245605},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.7949808835983276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6163618564605713},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5472431182861328},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5025830268859863},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.49715879559516907},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4288298785686493},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4233683943748474},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4123993515968323},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3927639126777649},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3697134852409363},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09911668300628662}],"concepts":[{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.8301310539245605},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.7949808835983276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6163618564605713},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5472431182861328},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5025830268859863},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.49715879559516907},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4288298785686493},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4233683943748474},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4123993515968323},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3927639126777649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3697134852409363},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09911668300628662},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11590-020-01550-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-020-01550-x","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"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":"Optimization Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2662858904","display_name":null,"funder_award_id":"11871453","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6268840010","display_name":null,"funder_award_id":"2018-2020","funder_id":"https://openalex.org/F4320311778","funder_display_name":"China Association for Science and Technology"},{"id":"https://openalex.org/G8042057216","display_name":null,"funder_award_id":"11731013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311778","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1497361805","https://openalex.org/W1842094663","https://openalex.org/W1934819276","https://openalex.org/W1981042292","https://openalex.org/W1982067912","https://openalex.org/W1994616650","https://openalex.org/W2017558614","https://openalex.org/W2035507034","https://openalex.org/W2047152541","https://openalex.org/W2076605490","https://openalex.org/W2093417350","https://openalex.org/W2105875671","https://openalex.org/W2107438106","https://openalex.org/W2132968152","https://openalex.org/W2146502635","https://openalex.org/W2594182398","https://openalex.org/W2619167391","https://openalex.org/W2622379787","https://openalex.org/W2740631809","https://openalex.org/W2788729665","https://openalex.org/W2808953177","https://openalex.org/W2898280890","https://openalex.org/W2901718886","https://openalex.org/W2952215077","https://openalex.org/W2962677560","https://openalex.org/W2962834995","https://openalex.org/W2962897178","https://openalex.org/W2963087817","https://openalex.org/W2963156201","https://openalex.org/W2963248893","https://openalex.org/W2963411541","https://openalex.org/W2963433607","https://openalex.org/W2963830980","https://openalex.org/W2964121744","https://openalex.org/W3029645440","https://openalex.org/W3141595720","https://openalex.org/W4301014524","https://openalex.org/W6600553734","https://openalex.org/W6605035644","https://openalex.org/W6606667432"],"related_works":["https://openalex.org/W998914686","https://openalex.org/W2045400445","https://openalex.org/W2011931970","https://openalex.org/W2145337406","https://openalex.org/W2028641747","https://openalex.org/W2942377347","https://openalex.org/W2093991524","https://openalex.org/W2062980523","https://openalex.org/W2371360614","https://openalex.org/W2526813860"],"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":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}