{"id":"https://openalex.org/W2554146567","doi":"https://doi.org/10.1109/ijcnn.2016.7727594","title":"Distributed variance regularized Multitask Learning","display_name":"Distributed variance regularized Multitask Learning","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2554146567","doi":"https://doi.org/10.1109/ijcnn.2016.7727594","mag":"2554146567"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/1535951/1/Shawe-Taylor_paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056775618","display_name":"Michele Donini","orcid":"https://orcid.org/0000-0002-9769-3899"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Donini","raw_affiliation_strings":["University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047411888","display_name":"David Mart\u00ednez\u2010Rego","orcid":"https://orcid.org/0000-0003-1809-1169"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Martinez-Rego","raw_affiliation_strings":["University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080988651","display_name":"Martin Goodson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Goodson","raw_affiliation_strings":["London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"London, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047980012","display_name":"John Shawe\u2010Taylor","orcid":"https://orcid.org/0000-0002-2030-0073"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Shawe-Taylor","raw_affiliation_strings":["University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034260726","display_name":"Massimiliano Pontil","orcid":"https://orcid.org/0000-0001-9415-098X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimiliano Pontil","raw_affiliation_strings":["Istituto Italiano di Tecnologia, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia, Genoa, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"3101","last_page":"3109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6960749626159668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667566180229187},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5358446836471558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42828571796417236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37991970777511597},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.167409747838974},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.090634286403656}],"concepts":[{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6960749626159668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667566180229187},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5358446836471558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42828571796417236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37991970777511597},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.167409747838974},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.090634286403656},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1535951","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1535951/","pdf_url":"https://discovery.ucl.ac.uk/1535951/1/Shawe-Taylor_paper.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: 2016 International Joint Conference on Neural Networks (IJCNN). (pp. pp. 3101-3109). IEEE (2016)","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1535951","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1535951/","pdf_url":"https://discovery.ucl.ac.uk/1535951/1/Shawe-Taylor_paper.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: 2016 International Joint Conference on Neural Networks (IJCNN). (pp. pp. 3101-3109). IEEE (2016)","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2554146567.pdf","grobid_xml":"https://content.openalex.org/works/W2554146567.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W25321933","https://openalex.org/W1510073064","https://openalex.org/W1540550673","https://openalex.org/W1600202130","https://openalex.org/W1852255964","https://openalex.org/W1963076242","https://openalex.org/W1986080131","https://openalex.org/W1991944675","https://openalex.org/W2036043322","https://openalex.org/W2057376540","https://openalex.org/W2058532290","https://openalex.org/W2060635016","https://openalex.org/W2076261573","https://openalex.org/W2094162053","https://openalex.org/W2105693192","https://openalex.org/W2112269233","https://openalex.org/W2113651538","https://openalex.org/W2121860922","https://openalex.org/W2125846172","https://openalex.org/W2143104527","https://openalex.org/W2153718513","https://openalex.org/W2156267734","https://openalex.org/W2162888803","https://openalex.org/W2236749180","https://openalex.org/W2886313391","https://openalex.org/W2913340405","https://openalex.org/W3104240813","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Past":[0],"research":[1],"on":[2,9,15,125],"Multitask":[3],"Learning":[4],"(MTL)":[5],"has":[6],"focused":[7],"mainly":[8],"devising":[10],"adequate":[11],"regularizers":[12],"and":[13,71,89,142],"less":[14],"their":[16],"scalability.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,96],"present":[22,123],"a":[23,60,113,126,156],"method":[24,40,46,84],"to":[25,49,74],"scale":[26],"up":[27],"MTL":[28,148],"methods":[29],"which":[30,64,131],"penalize":[31],"the":[32,35,43,51,65,83,100,108],"variance":[33,52],"of":[34,47,102,107,110,116,137,139],"task":[36,161],"weight":[37],"vectors.":[38],"The":[39],"builds":[41],"upon":[42],"alternating":[44],"direction":[45],"multipliers":[48],"decouple":[50],"regularizer.":[53],"It":[54],"can":[55,149],"be":[56],"efficiently":[57],"implemented":[58],"by":[59],"distributed":[61,93],"algorithm,":[62],"in":[63,87,91,135],"tasks":[66],"are":[67],"first":[68],"independently":[69],"solved":[70],"subsequently":[72],"corrected":[73],"pool":[75],"information":[76],"from":[77],"other":[78],"tasks.":[79],"We":[80,121],"show":[81],"that":[82,99,147],"works":[85],"well":[86],"practice":[88],"convergences":[90],"few":[92],"iterations.":[94],"Furthermore,":[95],"empirically":[97],"observe":[98],"number":[101,109],"iterations":[103],"is":[104,132],"nearly":[105],"independent":[106,160],"tasks,":[111],"yielding":[112],"computational":[114],"gain":[115],"O(T)":[117],"over":[118,153],"standard":[119],"solvers.":[120],"also":[122],"experiments":[124],"large":[127],"URL":[128],"classification":[129],"dataset,":[130],"challenging":[133],"both":[134],"terms":[136],"volume":[138],"data":[140],"points":[141],"dimensionality.":[143],"Our":[144],"results":[145],"confirm":[146],"obtain":[150],"superior":[151],"performance":[152],"either":[154],"learning":[155],"common":[157],"model":[158],"or":[159],"learning.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}