{"id":"https://openalex.org/W2920004471","doi":"https://doi.org/10.1109/acssc.2018.8645206","title":"A Gradient Descent Approach for Incomplete Linear Systems","display_name":"A Gradient Descent Approach for Incomplete Linear Systems","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2920004471","doi":"https://doi.org/10.1109/acssc.2018.8645206","mag":"2920004471"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2018.8645206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645206","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103201778","display_name":"Anna Ma","orcid":"https://orcid.org/0000-0002-0099-053X"},"institutions":[{"id":"https://openalex.org/I136722135","display_name":"Claremont Graduate University","ror":"https://ror.org/0157pnt69","country_code":"US","type":"education","lineage":["https://openalex.org/I136722135"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Ma","raw_affiliation_strings":["Inst. of Mathematical Sciences, Claremont Graduate University, Claremont, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Mathematical Sciences, Claremont Graduate University, Claremont, CA, USA","institution_ids":["https://openalex.org/I136722135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024153474","display_name":"Deanna Needell","orcid":"https://orcid.org/0000-0002-8058-8638"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Needell","raw_affiliation_strings":["Dept. of Mathematics, University of CaliforniaLos Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics, University of CaliforniaLos Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3395,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63675364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9975000023841858,"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/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.772010862827301},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.676537036895752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620694398880005},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6581529974937439},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5904676914215088},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.5123203992843628},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46990081667900085},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4611172676086426},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.43734073638916016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3974258303642273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2468571662902832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19179320335388184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13573414087295532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09050232172012329}],"concepts":[{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.772010862827301},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.676537036895752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620694398880005},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6581529974937439},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5904676914215088},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.5123203992843628},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46990081667900085},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4611172676086426},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.43734073638916016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3974258303642273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2468571662902832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19179320335388184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13573414087295532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09050232172012329},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2018.8645206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645206","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1990919278","https://openalex.org/W1994616650","https://openalex.org/W2021746604","https://openalex.org/W2048305372","https://openalex.org/W2091825929","https://openalex.org/W2120872934","https://openalex.org/W2134445957","https://openalex.org/W2136015602","https://openalex.org/W2162287622","https://openalex.org/W2168231600","https://openalex.org/W2593729350","https://openalex.org/W2616032753","https://openalex.org/W2949745249","https://openalex.org/W2963227338","https://openalex.org/W3010434925","https://openalex.org/W3126008680","https://openalex.org/W6677959539","https://openalex.org/W6680702173","https://openalex.org/W6684012599","https://openalex.org/W6684859321","https://openalex.org/W6734311868"],"related_works":["https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W4362706668","https://openalex.org/W4231621013","https://openalex.org/W2015288657","https://openalex.org/W3171021120","https://openalex.org/W3008318776","https://openalex.org/W2041416246"],"abstract_inverted_index":{"Stochastic":[0,9,61,92],"iterative":[1],"algorithms":[2],"such":[3],"as":[4],"the":[5,43,52,60,77,90,117],"Randomized":[6],"Kaczmarz":[7],"and":[8,24,45,81,105,111],"Gradient":[10,62,93],"Descent":[11,63,94],"have":[12],"gained":[13],"recent":[14],"popularity":[15],"for":[16,34,95],"large-scale":[17,35,82],"linear":[18,53,67],"systems":[19,68],"due":[20],"to":[21,65,115],"their":[22],"simplicity":[23],"wide":[25],"applicability.":[26],"While":[27],"these":[28],"approaches":[29],"are":[30],"a":[31],"popular":[32],"choice":[33],"data,":[36],"incomplete":[37],"or":[38],"missing":[39,70,80],"data":[40,83,114],"further":[41],"complicates":[42],"problem":[44],"is":[46],"typically":[47],"addressed":[48],"independently":[49],"of":[50,79],"solving":[51],"system.":[54],"In":[55],"this":[56],"work,":[57],"we":[58,75,99],"adapt":[59],"algorithm":[64],"handle":[66],"with":[69,86],"data.":[71],"By":[72],"doing":[73],"so,":[74],"address":[76],"issue":[78],"simultaneously.":[84],"Along":[85],"deriving":[87],"our":[88,119],"method,":[89],"Adapted":[91],"Missing":[96],"Data":[97],"(mSGD),":[98],"also":[100],"provide":[101],"theoretical":[102],"convergence":[103],"guarantees":[104],"present":[106],"numerical":[107],"experiments":[108],"on":[109],"simulated":[110],"real":[112],"world":[113],"demonstrate":[116],"usefulness":[118],"approach.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}