{"id":"https://openalex.org/W2980725457","doi":"https://doi.org/10.1109/icassp40776.2020.9054193","title":"Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize","display_name":"Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2980725457","doi":"https://doi.org/10.1109/icassp40776.2020.9054193","mag":"2980725457"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.07056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007175636","display_name":"Youngsuk Park","orcid":"https://orcid.org/0000-0002-0970-9214"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Youngsuk Park","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA","[Stanford University, Department of Electrical Engineering, Stanford, CA, 94305]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Stanford University, Department of Electrical Engineering, Stanford, CA, 94305]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058450118","display_name":"Sauptik Dhar","orcid":"https://orcid.org/0000-0002-3555-5466"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sauptik Dhar","raw_affiliation_strings":["LG Sillicon Valley Lab, Santa Clara, CA","Stanford University ()"],"affiliations":[{"raw_affiliation_string":"LG Sillicon Valley Lab, Santa Clara, CA","institution_ids":[]},{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011176205","display_name":"Stephen Boyd","orcid":"https://orcid.org/0000-0001-8353-6000"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Boyd","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA","[Stanford University, Department of Electrical Engineering, Stanford, CA, 94305]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Stanford University, Department of Electrical Engineering, Stanford, CA, 94305]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101821773","display_name":"Mohak Shah","orcid":"https://orcid.org/0000-0003-0409-1563"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohak Shah","raw_affiliation_strings":["LG Sillicon Valley Lab, Santa Clara, CA","LG Sillicon Valley Lab,Santa Clara,CA,95050"],"affiliations":[{"raw_affiliation_string":"LG Sillicon Valley Lab, Santa Clara, CA","institution_ids":[]},{"raw_affiliation_string":"LG Sillicon Valley Lab,Santa Clara,CA,95050","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007175636"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.3588,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51992895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3597","last_page":"3601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9886000156402588,"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":0.986299991607666,"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/diagonal","display_name":"Diagonal","score":0.8092391490936279},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.6196457147598267},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5952207446098328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5587050914764404},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5239368081092834},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.49106359481811523},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4558490812778473},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40171486139297485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3873800039291382},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0857943594455719}],"concepts":[{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.8092391490936279},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6196457147598267},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5952207446098328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5587050914764404},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5239368081092834},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.49106359481811523},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4558490812778473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40171486139297485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3873800039291382},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0857943594455719},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.07056","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.07056","pdf_url":"https://arxiv.org/pdf/1910.07056","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2980725457","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.07056v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1910.07056","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.07056","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/wx7x-f095","is_oa":true,"landing_page_url":"https://doi.org/10.17023/wx7x-f095","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.07056","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.07056","pdf_url":"https://arxiv.org/pdf/1910.07056","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980725457.pdf","grobid_xml":"https://content.openalex.org/works/W2980725457.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1516568895","https://openalex.org/W1549071068","https://openalex.org/W1849979240","https://openalex.org/W1871489475","https://openalex.org/W1973665846","https://openalex.org/W1973734200","https://openalex.org/W2004461831","https://openalex.org/W2006262045","https://openalex.org/W2038497950","https://openalex.org/W2043430160","https://openalex.org/W2045010238","https://openalex.org/W2047071281","https://openalex.org/W2055467852","https://openalex.org/W2062320580","https://openalex.org/W2076605490","https://openalex.org/W2100556411","https://openalex.org/W2112796928","https://openalex.org/W2126607811","https://openalex.org/W2139146655","https://openalex.org/W2142694817","https://openalex.org/W2146502635","https://openalex.org/W2158449358","https://openalex.org/W2167137033","https://openalex.org/W2171413647","https://openalex.org/W2346333570","https://openalex.org/W2395947128","https://openalex.org/W2611328865","https://openalex.org/W2963173886","https://openalex.org/W6601318844","https://openalex.org/W6639321117","https://openalex.org/W6678397451","https://openalex.org/W6681085266","https://openalex.org/W6684191040","https://openalex.org/W6739895293","https://openalex.org/W6769418229"],"related_works":["https://openalex.org/W3015916531","https://openalex.org/W3089726219","https://openalex.org/W2271321931","https://openalex.org/W50264970","https://openalex.org/W2617742785","https://openalex.org/W3093797654","https://openalex.org/W2767809233","https://openalex.org/W2329996474","https://openalex.org/W143348343","https://openalex.org/W2522336029","https://openalex.org/W2469503150","https://openalex.org/W3000399573","https://openalex.org/W2151471453","https://openalex.org/W3166091992","https://openalex.org/W2160618584","https://openalex.org/W2669391889","https://openalex.org/W2944073862","https://openalex.org/W2147587978","https://openalex.org/W1990449719","https://openalex.org/W2354232009"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"adaptive":[4],"metric":[5],"selection":[6],"strategy":[7],"called":[8],"diagonal":[9],"Barzilai-Borwein":[10,47],"(DBB)":[11],"stepsize":[12,83],"for":[13,56,74,84],"the":[14,29,33,37,43,52,75,81],"popular":[15],"Variable":[16],"Metric":[17],"Proximal":[18],"Gradient":[19],"(VM-PG)":[20],"algorithm":[21],"[1],":[22],"[2].":[23],"The":[24],"proposed":[25],"approach":[26],"better":[27],"captures":[28],"local":[30],"geometry":[31],"of":[32],"problem":[34],"while":[35],"keeping":[36],"per-step":[38],"computation":[39],"cost":[40],"similar":[41],"to":[42,80],"widely":[44],"used":[45],"scalar":[46],"(BB)":[48],"stepsize.":[49,60],"We":[50],"provide":[51],"theoretical":[53],"convergence":[54,72],"analysis":[55],"VM-PG":[57,76],"using":[58,77],"DBB":[59,78],"Finally,":[61],"our":[62],"empirical":[63],"results":[64],"show":[65],"~10":[66],"-":[67],"40":[68],"%":[69],"improvement":[70],"in":[71],"times":[73],"compared":[79],"BB":[82],"different":[85],"machine":[86],"learning":[87],"problems":[88],"on":[89],"several":[90],"datasets.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}