{"id":"https://openalex.org/W4309765557","doi":"https://doi.org/10.1007/s10994-022-06239-z","title":"Local AdaGrad-type algorithm for stochastic convex-concave optimization","display_name":"Local AdaGrad-type algorithm for stochastic convex-concave optimization","publication_year":2022,"publication_date":"2022-11-23","ids":{"openalex":"https://openalex.org/W4309765557","doi":"https://doi.org/10.1007/s10994-022-06239-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06239-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06239-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06239-z.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/s10994-022-06239-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006300378","display_name":"Luofeng Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Luofeng Liao","raw_affiliation_strings":["IEOR, Columbia Unviersity, New York, NY, USA","JD Explore Academy, JD.com Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IEOR, Columbia Unviersity, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"JD Explore Academy, JD.com Inc, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042802004","display_name":"Li Shen","orcid":"https://orcid.org/0000-0001-5659-3464"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["JD Explore Academy, JD.com Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Explore Academy, JD.com Inc, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085044191","display_name":"Jia Duan","orcid":"https://orcid.org/0000-0002-5960-922X"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Duan","raw_affiliation_strings":["JD Explore Academy, JD.com Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Explore Academy, JD.com Inc, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016868056","display_name":"Mladen Kolar","orcid":"https://orcid.org/0000-0001-7353-3404"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mladen Kolar","raw_affiliation_strings":["Booth School of Business, University of Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Booth School of Business, University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy, JD.com Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Explore Academy, JD.com Inc, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006300378"],"corresponding_institution_ids":["https://openalex.org/I4210103986","https://openalex.org/I78577930"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.6896,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75579668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"113","issue":"4","first_page":"1819","last_page":"1838"},"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":0.9986000061035156,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.8613148927688599},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6371123790740967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511278510093689},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.47739142179489136},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4532046616077423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.397222101688385}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.8613148927688599},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6371123790740967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511278510093689},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.47739142179489136},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4532046616077423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.397222101688385},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-022-06239-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06239-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06239-z.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/s10994-022-06239-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06239-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06239-z.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":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309765557.pdf","grobid_xml":"https://content.openalex.org/works/W4309765557.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W106789774","https://openalex.org/W1487404723","https://openalex.org/W1519983590","https://openalex.org/W1968355947","https://openalex.org/W1992208280","https://openalex.org/W2041517243","https://openalex.org/W2075567596","https://openalex.org/W2084845949","https://openalex.org/W2089559088","https://openalex.org/W2092663520","https://openalex.org/W2092851214","https://openalex.org/W2108598243","https://openalex.org/W2146502635","https://openalex.org/W2739748921","https://openalex.org/W2788053000","https://openalex.org/W2886837499","https://openalex.org/W2886849295","https://openalex.org/W2893749619","https://openalex.org/W2894677249","https://openalex.org/W2913434950","https://openalex.org/W2944542720","https://openalex.org/W2962823973","https://openalex.org/W2963698657","https://openalex.org/W2963981733","https://openalex.org/W2982523334","https://openalex.org/W2995022099","https://openalex.org/W2995509798","https://openalex.org/W3022308729","https://openalex.org/W3037721576","https://openalex.org/W3094115032","https://openalex.org/W3095124371","https://openalex.org/W3130690903","https://openalex.org/W3131981931","https://openalex.org/W3134165197","https://openalex.org/W3164209919","https://openalex.org/W3203803206","https://openalex.org/W4211108990","https://openalex.org/W4214796298","https://openalex.org/W6744644060","https://openalex.org/W6747620207","https://openalex.org/W6752191696","https://openalex.org/W6752646127","https://openalex.org/W6753958361","https://openalex.org/W6765541894","https://openalex.org/W6773976177","https://openalex.org/W6774091466","https://openalex.org/W6785768294","https://openalex.org/W6787650878"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2016058626","https://openalex.org/W1979597421","https://openalex.org/W2474724840","https://openalex.org/W2963760573","https://openalex.org/W2007980826","https://openalex.org/W185788778","https://openalex.org/W2895916002","https://openalex.org/W3182145356","https://openalex.org/W4388209346"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
