{"id":"https://openalex.org/W3011407644","doi":"https://doi.org/10.1007/s11222-020-09939-5","title":"Matrix completion with nonconvex regularization: spectral operators and scalable algorithms","display_name":"Matrix completion with nonconvex regularization: spectral operators and scalable algorithms","publication_year":2020,"publication_date":"2020-03-14","ids":{"openalex":"https://openalex.org/W3011407644","doi":"https://doi.org/10.1007/s11222-020-09939-5","mag":"3011407644"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09939-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09939-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/131497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045271820","display_name":"Rahul Mazumder","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Mazumder","raw_affiliation_strings":["MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077214585","display_name":"Diego Franco Saldana","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diego Saldana","raw_affiliation_strings":["Tapad, New York, NY, 10010, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tapad, New York, NY, 10010, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003315201","display_name":"Haolei Weng","orcid":"https://orcid.org/0000-0002-9879-7841"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haolei Weng","raw_affiliation_strings":["Department of Statistics and Probability, Michigan State University, East Lansing, MI, 48824, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Probability, Michigan State University, East Lansing, MI, 48824, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003315201"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":0.8074,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6354894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"4","first_page":"1113","last_page":"1138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9876000285148621,"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/matrix-completion","display_name":"Matrix completion","score":0.8033992052078247},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.7651733160018921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5677428245544434},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.564584493637085},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5244964957237244},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.5097152590751648},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.47633224725723267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4712275266647339},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4552317261695862},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4506545066833496},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4384404718875885},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4317713677883148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42846575379371643},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.2094540297985077},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1933721899986267},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16037142276763916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14512789249420166},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10250815749168396},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.09468871355056763}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.8033992052078247},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.7651733160018921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5677428245544434},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.564584493637085},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5244964957237244},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.5097152590751648},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.47633224725723267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4712275266647339},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4552317261695862},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4506545066833496},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4384404718875885},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4317713677883148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42846575379371643},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.2094540297985077},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1933721899986267},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16037142276763916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14512789249420166},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10250815749168396},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.09468871355056763},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-020-09939-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09939-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/131497","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/131497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Springer US","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/131497","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/131497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Springer US","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W182881619","https://openalex.org/W1573301526","https://openalex.org/W1574851760","https://openalex.org/W1586554030","https://openalex.org/W1590407118","https://openalex.org/W1604604340","https://openalex.org/W1965125844","https://openalex.org/W1965169081","https://openalex.org/W1968480431","https://openalex.org/W1992276332","https://openalex.org/W2020925091","https://openalex.org/W2040296279","https://openalex.org/W2047071281","https://openalex.org/W2049633694","https://openalex.org/W2054640142","https://openalex.org/W2061598070","https://openalex.org/W2063942101","https://openalex.org/W2063978378","https://openalex.org/W2074471762","https://openalex.org/W2074682976","https://openalex.org/W2077430220","https://openalex.org/W2079775628","https://openalex.org/W2084745075","https://openalex.org/W2095534914","https://openalex.org/W2096863518","https://openalex.org/W2101083207","https://openalex.org/W2103972604","https://openalex.org/W2106005123","https://openalex.org/W2107861471","https://openalex.org/W2110451175","https://openalex.org/W2111297856","https://openalex.org/W2118550318","https://openalex.org/W2119883478","https://openalex.org/W2120872934","https://openalex.org/W2134332047","https://openalex.org/W2135046866","https://openalex.org/W2136912397","https://openalex.org/W2146130798","https://openalex.org/W2149934276","https://openalex.org/W2166163936","https://openalex.org/W2171046470","https://openalex.org/W2396019715","https://openalex.org/W2405479119","https://openalex.org/W2480987681","https://openalex.org/W2505029951","https://openalex.org/W2566608758","https://openalex.org/W2586353914","https://openalex.org/W2610857016","https://openalex.org/W2611328865","https://openalex.org/W2616032753","https://openalex.org/W2616050959","https://openalex.org/W2736716203","https://openalex.org/W2768927505","https://openalex.org/W2785436244","https://openalex.org/W2787894218","https://openalex.org/W2793337497","https://openalex.org/W2798909945","https://openalex.org/W2949419207","https://openalex.org/W2950383522","https://openalex.org/W2962769133","https://openalex.org/W2963351303","https://openalex.org/W2963972677","https://openalex.org/W2963991711","https://openalex.org/W2969215180","https://openalex.org/W3048822613","https://openalex.org/W3087219089","https://openalex.org/W3094857757","https://openalex.org/W3098122928","https://openalex.org/W3098306969","https://openalex.org/W3098807808","https://openalex.org/W3099447760","https://openalex.org/W3100817920","https://openalex.org/W3104447032","https://openalex.org/W3104501706","https://openalex.org/W3105034597","https://openalex.org/W3105489725","https://openalex.org/W3125671026","https://openalex.org/W4229706427","https://openalex.org/W4249667877","https://openalex.org/W6600002382","https://openalex.org/W6600213211","https://openalex.org/W6600236328","https://openalex.org/W6600420370","https://openalex.org/W6601048702","https://openalex.org/W6629576115"],"related_works":["https://openalex.org/W2964006653","https://openalex.org/W2788826952","https://openalex.org/W4302315572","https://openalex.org/W2084983808","https://openalex.org/W2325477568","https://openalex.org/W1991825408","https://openalex.org/W4318564253","https://openalex.org/W1969698720","https://openalex.org/W4094001","https://openalex.org/W1507830821"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}