{"id":"https://openalex.org/W2897958909","doi":"https://doi.org/10.1145/3269206.3271687","title":"Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification","display_name":"Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2897958909","doi":"https://doi.org/10.1145/3269206.3271687","mag":"2897958909"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3271687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5102906053","display_name":"Yong Zhuang","orcid":"https://orcid.org/0000-0002-7858-5569"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Zhuang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084411084","display_name":"Yu-Chin Juan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155169","display_name":"Tecolote Research (United States)","ror":"https://ror.org/05bt80j81","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155169"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchin Juan","raw_affiliation_strings":["Criteo Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Criteo Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108525217","display_name":"Guo-Xun Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guo-Xun Yuan","raw_affiliation_strings":["Facebook, Inc., Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068223640","display_name":"Chih\u2010Jen Lin","orcid":"https://orcid.org/0000-0003-4684-8747"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Jen Lin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102906053"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.2161,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77254965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1103","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9990000128746033,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/computer-science","display_name":"Computer science","score":0.7865474224090576},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.7610771656036377},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5786086320877075},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5155079364776611},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5073356032371521},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.4630219340324402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295362591743469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2639014720916748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865474224090576},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.7610771656036377},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5786086320877075},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5155079364776611},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5073356032371521},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.4630219340324402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295362591743469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2639014720916748},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3271687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W56897548","https://openalex.org/W1524688041","https://openalex.org/W1982941867","https://openalex.org/W1988888548","https://openalex.org/W2032395696","https://openalex.org/W2051434435","https://openalex.org/W2079482358","https://openalex.org/W2114515438","https://openalex.org/W2114643899","https://openalex.org/W2118585731","https://openalex.org/W2127785841","https://openalex.org/W2129191766","https://openalex.org/W2146068631","https://openalex.org/W2165966284","https://openalex.org/W2166183437","https://openalex.org/W2205688503","https://openalex.org/W2226506202","https://openalex.org/W2248652330","https://openalex.org/W2383718281","https://openalex.org/W2584746436","https://openalex.org/W2616811598","https://openalex.org/W3000180257","https://openalex.org/W3001645704","https://openalex.org/W3005522790","https://openalex.org/W3006097074","https://openalex.org/W3007227167","https://openalex.org/W3009150836"],"related_works":["https://openalex.org/W1542410906","https://openalex.org/W197049984","https://openalex.org/W2484651380","https://openalex.org/W1993191611","https://openalex.org/W2023938924","https://openalex.org/W2918840249","https://openalex.org/W1991859582","https://openalex.org/W2110053126","https://openalex.org/W2104702637","https://openalex.org/W2079303253"],"abstract_inverted_index":{"It":[0],"is":[1,19,25,104,187],"well":[2],"known":[3],"that":[4,26,41,144,155,165,179],"a":[5,57,77,83,156,174,188],"direct":[6,78],"parallelization":[7,79,149,158,182],"of":[8,32,80,96,150,183],"sequential":[9,84],"optimization":[10],"methods":[11,164],"(e.g.,":[12],"coordinate":[13,114],"descent":[14,115],"and":[15,191],"stochastic":[16],"gradient":[17],"methods)":[18],"often":[20],"not":[21,46,105],"effective.":[22],"The":[23],"reason":[24],"at":[27,107],"each":[28],"iteration,":[29],"the":[30,50,54,102,130,140,148,168,180,184],"number":[31],"operations":[33],"may":[34,45,86],"be":[35,47],"too":[36],"small.":[37],"We":[38,109],"point":[39],"out":[40],"this":[42,111,145],"common":[43],"understanding":[44],"true":[48],"if":[49],"algorithm":[51,103,169],"sequentially":[52],"accesses":[53],"data":[55],"in":[56,82,88,139],"feature-wise":[58],"manner.":[59],"For":[60],"almost":[61],"all":[62,98],"real-world":[63],"sparse":[64],"sets":[65],"we":[66,177],"have":[67],"examined,":[68],"some":[69,137],"features":[70,138],"are":[71,119],"much":[72],"denser":[73],"than":[74,162],"others.":[75],"Thus":[76],"loops":[81],"method":[85,186],"result":[87],"excellent":[89],"speedup.":[90],"This":[91],"approach":[92],"possesses":[93],"an":[94,127],"advantage":[95],"retaining":[97],"convergence":[99],"results":[100],"because":[101],"changed":[106],"all.":[108],"apply":[110],"idea":[112],"on":[113,129],"(CD)":[116],"methods,":[117],"which":[118],"effective":[120],"single-thread":[121],"technique":[122,132,146],"for":[123,195],"L1-regularized":[124,196],"classification.":[125,197],"Further,":[126],"investigation":[128],"shrinking":[131],"commonly":[133],"used":[134],"to":[135,170],"remove":[136],"training":[141],"process":[142],"shows":[143],"helps":[147],"CD":[151,185],"methods.":[152],"Experiments":[153],"indicate":[154],"naive":[157,181],"achieves":[159],"better":[160],"speedup":[161],"existing":[163],"laboriously":[166],"modify":[167],"achieve":[171],"parallelism.":[172],"Though":[173],"bit":[175],"ironic,":[176],"conclude":[178],"highly":[189],"competitive":[190],"robust":[192],"multi-core":[193],"implementation":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
