{"id":"https://openalex.org/W2891483646","doi":"https://doi.org/10.1109/icassp.2018.8462617","title":"Nonconvex Sparse Logistic Regression via Proximal Gradient Descent","display_name":"Nonconvex Sparse Logistic Regression via Proximal Gradient Descent","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891483646","doi":"https://doi.org/10.1109/icassp.2018.8462617","mag":"2891483646"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5003439795","display_name":"Xinyue Shen","orcid":"https://orcid.org/0000-0001-7760-0897"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Shen","raw_affiliation_strings":["Electronic Engineering Department, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621681","display_name":"Yuantao Gu","orcid":"https://orcid.org/0000-0002-8427-1021"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuantao Gu","raw_affiliation_strings":["Electronic Engineering Department, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2082,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52128764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"5"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.989799976348877,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6460983157157898},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.6169439554214478},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5826267004013062},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5729087591171265},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5708519220352173},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5393267869949341},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5040944814682007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4953414499759674},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.486698180437088},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48543912172317505},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4743289351463318},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.42501968145370483},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.41569364070892334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40602177381515503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40352049469947815},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3507516384124756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18936744332313538},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06409084796905518}],"concepts":[{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6460983157157898},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.6169439554214478},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5826267004013062},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5729087591171265},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5708519220352173},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5393267869949341},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5040944814682007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4953414499759674},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.486698180437088},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48543912172317505},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4743289351463318},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.42501968145370483},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.41569364070892334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40602177381515503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40352049469947815},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3507516384124756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18936744332313538},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06409084796905518},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":47,"referenced_works":["https://openalex.org/W625557853","https://openalex.org/W1658113598","https://openalex.org/W1887132526","https://openalex.org/W1965125844","https://openalex.org/W1973520297","https://openalex.org/W2004544971","https://openalex.org/W2023047877","https://openalex.org/W2027197817","https://openalex.org/W2044297353","https://openalex.org/W2060430274","https://openalex.org/W2074577749","https://openalex.org/W2100556411","https://openalex.org/W2102984754","https://openalex.org/W2111453803","https://openalex.org/W2133263603","https://openalex.org/W2137911812","https://openalex.org/W2140721493","https://openalex.org/W2142506503","https://openalex.org/W2144073719","https://openalex.org/W2145473366","https://openalex.org/W2151499551","https://openalex.org/W2152734820","https://openalex.org/W2163761533","https://openalex.org/W2164078599","https://openalex.org/W2166183437","https://openalex.org/W2273716988","https://openalex.org/W2289145899","https://openalex.org/W2296616510","https://openalex.org/W2376779736","https://openalex.org/W2616050959","https://openalex.org/W2743758565","https://openalex.org/W2936995161","https://openalex.org/W2949979136","https://openalex.org/W2964322027","https://openalex.org/W3098306969","https://openalex.org/W4250955649","https://openalex.org/W4297825594","https://openalex.org/W6619863188","https://openalex.org/W6637214408","https://openalex.org/W6639167513","https://openalex.org/W6676611517","https://openalex.org/W6680344438","https://openalex.org/W6684045843","https://openalex.org/W6684111346","https://openalex.org/W6684385948","https://openalex.org/W6696497002","https://openalex.org/W6742127008"],"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/W3171021120","https://openalex.org/W3008318776","https://openalex.org/W4385644471","https://openalex.org/W4224283687"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"propose":[4],"to":[5,45,73,100],"fit":[6],"a":[7,13,28,59,101],"sparse":[8],"logistic":[9],"regression":[10],"model":[11],"by":[12],"weakly":[14,29,62,103],"convex":[15,30,63,104],"regularized":[16],"nonconvex":[17],"optimization":[18],"problem.":[19],"The":[20],"idea":[21],"is":[22,43,77,98,110,121],"based":[23,78],"on":[24,79],"the":[25,36,50,68,70,75,85,95,107,119],"finding":[26],"that":[27],"function":[31],"as":[32,112],"an":[33,113],"approximation":[34],"of":[35,61,87,117],"\u2113":[37,53],"<sub":[38,54],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39,55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[40],"pseudo":[41],"norm":[42],"able":[44],"better":[46],"induce":[47],"sparsity":[48,64],"than":[49],"commonly":[51],"used":[52],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[56],"norm.":[57],"For":[58],"class":[60],"inducing":[65],"functions,":[66],"despite":[67],"nonconvexity,":[69],"algorithm":[71],"proposed":[72],"solve":[74],"problem":[76],"proximal":[80],"gradient":[81],"descent,":[82],"which":[83,118],"allows":[84],"use":[86],"convergence":[88],"acceleration":[89],"techniques":[90],"and":[91,106],"stochastic":[92],"gradient.":[93],"Then":[94],"general":[96],"framework":[97],"applied":[99],"specific":[102],"function,":[105],"solution":[108],"method":[109],"instantiated":[111],"iterative":[114],"firm-shrinkage":[115],"algorithm,":[116],"effectiveness":[120],"demonstrated":[122],"in":[123],"numerical":[124],"experiments.":[125]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}