{"id":"https://openalex.org/W1965193428","doi":"https://doi.org/10.1007/s10589-013-9633-9","title":"A sparsity preserving stochastic gradient methods for sparse regression","display_name":"A sparsity preserving stochastic gradient methods for sparse regression","publication_year":2014,"publication_date":"2014-01-08","ids":{"openalex":"https://openalex.org/W1965193428","doi":"https://doi.org/10.1007/s10589-013-9633-9","mag":"1965193428"},"language":"en","primary_location":{"id":"doi:10.1007/s10589-013-9633-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-013-9633-9","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"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":"Computational Optimization and Applications","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/A5090417160","display_name":"Qihang Lin","orcid":"https://orcid.org/0000-0003-2943-3267"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qihang Lin","raw_affiliation_strings":["Tippie College of Business, University of Iowa, Iowa City, IA, 52242, USA","Tippie College of Business, University of Iowa, Iowa City, USA 52242#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tippie College of Business, University of Iowa, Iowa City, IA, 52242, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Tippie College of Business, University of Iowa, Iowa City, USA 52242#TAB#","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329867","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0001-7965-9198"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA","Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, USA 94720#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, USA 94720#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016340912","display_name":"Javier Pe\u00f1a","orcid":"https://orcid.org/0000-0001-5698-1918"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Javier Pe\u00f1a","raw_affiliation_strings":["Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, 15213, USA","Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA 15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016340912"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":2.5513,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87308441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"2","first_page":"455","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.7505834698677063},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.7163860201835632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6769490242004395},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6463851928710938},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.565066933631897},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5034627318382263},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4977836608886719},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.48791953921318054},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.46979010105133057},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.4588386118412018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45515722036361694},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3050687909126282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25744879245758057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08719035983085632}],"concepts":[{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.7505834698677063},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.7163860201835632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6769490242004395},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6463851928710938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.565066933631897},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5034627318382263},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4977836608886719},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.48791953921318054},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.46979010105133057},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.4588386118412018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45515722036361694},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3050687909126282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25744879245758057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08719035983085632},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10589-013-9633-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-013-9633-9","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"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":"Computational Optimization and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:coopap:v:58:y:2014:i:2:p:455-482","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s10589-013-9633-9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1499021337","https://openalex.org/W1505731132","https://openalex.org/W1852945463","https://openalex.org/W1871180460","https://openalex.org/W1972711404","https://openalex.org/W1992208280","https://openalex.org/W1994616650","https://openalex.org/W1995033525","https://openalex.org/W2009797711","https://openalex.org/W2024484010","https://openalex.org/W2045704273","https://openalex.org/W2045744861","https://openalex.org/W2048923650","https://openalex.org/W2086161653","https://openalex.org/W2095962350","https://openalex.org/W2096199223","https://openalex.org/W2100556411","https://openalex.org/W2103195393","https://openalex.org/W2108948681","https://openalex.org/W2130062883","https://openalex.org/W2135046866","https://openalex.org/W2135499062","https://openalex.org/W2138019504","https://openalex.org/W2146482778","https://openalex.org/W2162746441","https://openalex.org/W2164301055","https://openalex.org/W2167302917","https://openalex.org/W2167732364","https://openalex.org/W2168909589","https://openalex.org/W2169713291","https://openalex.org/W2183575723","https://openalex.org/W2339666411","https://openalex.org/W2531891978","https://openalex.org/W2595840341","https://openalex.org/W2606098075","https://openalex.org/W2606211438","https://openalex.org/W2616657226","https://openalex.org/W2962720772","https://openalex.org/W3141595720","https://openalex.org/W4300496207","https://openalex.org/W4301435544","https://openalex.org/W4302033506"],"related_works":["https://openalex.org/W2905950575","https://openalex.org/W2073750241","https://openalex.org/W2465405765","https://openalex.org/W2012437081","https://openalex.org/W1863473538","https://openalex.org/W4286899070","https://openalex.org/W2804400349","https://openalex.org/W4297153560","https://openalex.org/W2964186284","https://openalex.org/W4224283687"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}