{"id":"https://openalex.org/W2548939315","doi":"https://doi.org/10.1109/icacci.2016.7732086","title":"Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets","display_name":"Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2548939315","doi":"https://doi.org/10.1109/icacci.2016.7732086","mag":"2548939315"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5034834663","display_name":"Mridula Verma","orcid":"https://orcid.org/0000-0002-9772-240X"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]},{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mridula Verma","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India-221005","Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India-221005","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046454544","display_name":"K.K. Shukla","orcid":"https://orcid.org/0000-0002-8756-6474"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]},{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K K Shukla","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India-221005","Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India-221005","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034834663"],"corresponding_institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11684525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"453"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9952999949455261,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/convergence","display_name":"Convergence (economics)","score":0.7291266918182373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963416337966919},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6565492153167725},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5564513802528381},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5371091961860657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5215294361114502},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.5181016325950623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5113622546195984},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47442832589149475},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4611065983772278},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45575517416000366},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.44039735198020935},{"id":"https://openalex.org/keywords/structural-risk-minimization","display_name":"Structural risk minimization","score":0.43056491017341614},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4106147885322571},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33337119221687317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25887471437454224},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19834351539611816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10747534036636353}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7291266918182373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963416337966919},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6565492153167725},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5564513802528381},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5371091961860657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5215294361114502},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.5181016325950623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5113622546195984},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47442832589149475},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4611065983772278},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45575517416000366},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.44039735198020935},{"id":"https://openalex.org/C154507838","wikidata":"https://www.wikidata.org/wiki/Q7625053","display_name":"Structural risk minimization","level":3,"score":0.43056491017341614},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4106147885322571},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33337119221687317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25887471437454224},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19834351539611816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10747534036636353},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2016.7732086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":25,"referenced_works":["https://openalex.org/W1497745584","https://openalex.org/W1569098853","https://openalex.org/W1987371344","https://openalex.org/W2038497950","https://openalex.org/W2045220410","https://openalex.org/W2093545205","https://openalex.org/W2100556411","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2138265962","https://openalex.org/W2140514146","https://openalex.org/W2146482778","https://openalex.org/W2167474603","https://openalex.org/W2913535645","https://openalex.org/W3096194929","https://openalex.org/W4205213118","https://openalex.org/W4214796298","https://openalex.org/W4244393449","https://openalex.org/W4254313632","https://openalex.org/W6629935912","https://openalex.org/W6659857369","https://openalex.org/W6681413097","https://openalex.org/W6784537261","https://openalex.org/W6807195321"],"related_works":["https://openalex.org/W2099261031","https://openalex.org/W1949865450","https://openalex.org/W2052343155","https://openalex.org/W4292651679","https://openalex.org/W2155195660","https://openalex.org/W2400034325","https://openalex.org/W4299515259","https://openalex.org/W2499557797","https://openalex.org/W2103875979","https://openalex.org/W2057467996"],"abstract_inverted_index":{"First":[0],"order":[1,55],"methods":[2,56,70,78,93],"are":[3,26,57],"known":[4],"to":[5,14,45,81],"be":[6],"effective":[7],"for":[8,94,112],"high-dimensional":[9],"machine":[10,22,66],"learning":[11,67],"problems":[12,25],"due":[13],"their":[15,116],"faster":[16],"convergence":[17,121],"and":[18,37,65,79,125],"low":[19],"per-iteration-complexity.":[20],"In":[21,85],"learning,":[23],"many":[24],"designed":[27],"as":[28],"a":[29,51,106],"convex":[30],"minimization":[31,102],"problem":[32,96],"with":[33,41,105],"smooth":[34],"loss":[35,101],"function":[36],"non-smooth":[38],"regularizers.":[39],"Learning":[40],"sparsity-inducing":[42,107],"regularizers":[43],"belongs":[44],"this":[46,86],"class":[47,75],"of":[48,53,63,76,97],"problems,":[49],"where":[50],"number":[52],"first":[54,114],"already":[58],"available":[59],"in":[60],"the":[61,74,95,100,113],"literature":[62],"optimization":[64],"theory.":[68],"Proximal":[69],"also":[71],"come":[72],"under":[73],"first-order":[77],"lead":[80],"better":[82],"sparse":[83],"models.":[84],"paper,":[87],"we":[88],"discuss":[89],"three":[90],"state-of-the-art":[91],"proximal":[92],"regression,":[98],"when":[99],"is":[103],"associated":[104],"regularizer.":[108],"This":[109],"paper":[110],"presents":[111],"time":[115,128],"comparison":[117],"based":[118],"on":[119,129],"practical":[120],"rates,":[122],"prediction":[123],"accuracy":[124],"consumed":[126],"CPU":[127],"six":[130],"real":[131],"datasets.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
