{"id":"https://openalex.org/W2786432334","doi":"https://doi.org/10.1145/3219819.3219992","title":"Variable Selection and Task Grouping for Multi-Task Learning","display_name":"Variable Selection and Task Grouping for Multi-Task Learning","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2786432334","doi":"https://doi.org/10.1145/3219819.3219992","mag":"2786432334"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.04676","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074636363","display_name":"Jun-Yong Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jun-Yong Jeong","raw_affiliation_strings":["POSTECH, Pohang, Rebublic of Korea"],"affiliations":[{"raw_affiliation_string":"POSTECH, Pohang, Rebublic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016824496","display_name":"Chi\u2010Hyuck Jun","orcid":"https://orcid.org/0000-0003-0911-7347"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chi-Hyuck Jun","raw_affiliation_strings":["POSTECH, Pohang, Rebublic of Korea"],"affiliations":[{"raw_affiliation_string":"POSTECH, Pohang, Rebublic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074636363"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":2.18418705,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88287865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1589","last_page":"1598"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7135753035545349},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6914114952087402},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6462947130203247},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5923025608062744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5029765963554382},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4364970326423645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10623684525489807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08724534511566162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135753035545349},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6914114952087402},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6462947130203247},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5923025608062744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5029765963554382},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4364970326423645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10623684525489807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08724534511566162},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1145/3219819.3219992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.04676","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04676","pdf_url":"https://arxiv.org/pdf/1802.04676","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.04676","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04676","pdf_url":"https://arxiv.org/pdf/1802.04676","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W60530159","https://openalex.org/W154859488","https://openalex.org/W344512287","https://openalex.org/W577139289","https://openalex.org/W1497745584","https://openalex.org/W1731081199","https://openalex.org/W1921708675","https://openalex.org/W1922736325","https://openalex.org/W1942758450","https://openalex.org/W1998367754","https://openalex.org/W1999140058","https://openalex.org/W2027982384","https://openalex.org/W2065180801","https://openalex.org/W2100556411","https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2118099552","https://openalex.org/W2119122547","https://openalex.org/W2121959576","https://openalex.org/W2122825543","https://openalex.org/W2130903752","https://openalex.org/W2138228305","https://openalex.org/W2141366416","https://openalex.org/W2154029067","https://openalex.org/W2158954093","https://openalex.org/W2159514083","https://openalex.org/W2164278908","https://openalex.org/W2166721725","https://openalex.org/W2186054958","https://openalex.org/W2187705271","https://openalex.org/W2237537322","https://openalex.org/W2241862190","https://openalex.org/W2244253939","https://openalex.org/W2463008967","https://openalex.org/W2471962125","https://openalex.org/W2561587488","https://openalex.org/W2577679987","https://openalex.org/W2592249290","https://openalex.org/W2608702473","https://openalex.org/W2609634892","https://openalex.org/W2741887298","https://openalex.org/W2742079690","https://openalex.org/W2913340405","https://openalex.org/W2913535645","https://openalex.org/W2949201716","https://openalex.org/W2949664970","https://openalex.org/W2950678851","https://openalex.org/W2951715301","https://openalex.org/W2952565456","https://openalex.org/W2964308881","https://openalex.org/W2978329087","https://openalex.org/W3141797743","https://openalex.org/W4244393449","https://openalex.org/W4247950230","https://openalex.org/W4292363360","https://openalex.org/W4297683377","https://openalex.org/W4299828299","https://openalex.org/W4300489696","https://openalex.org/W4301014524","https://openalex.org/W4301248618","https://openalex.org/W6684696923","https://openalex.org/W6690067395"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489","https://openalex.org/W2389015757"],"abstract_inverted_index":{"We":[0,14],"consider":[1],"multi-task":[2],"learning,":[3],"which":[4],"simultaneously":[5,35],"learns":[6],"related":[7],"prediction":[8],"tasks,":[9],"to":[10,34],"improve":[11],"generalization":[12],"performance.":[13],"factorize":[15],"a":[16,27],"coefficient":[17],"matrix":[18],"as":[19],"the":[20,46,76,80,86],"product":[21],"of":[22,66,79,85],"two":[23],"matrices":[24,31],"based":[25],"on":[26],"low-rank":[28],"assumption.":[29],"These":[30],"have":[32],"sparsities":[33],"perform":[36],"variable":[37],"selection":[38],"and":[39,41,68,94],"learn":[40],"overlapping":[42],"group":[43],"structure":[44],"among":[45],"tasks.":[47],"The":[48,83],"resulting":[49],"bi-convex":[50],"objective":[51],"function":[52],"is":[53,89],"minimized":[54],"by":[55],"alternating":[56,63],"optimization":[57],"where":[58],"sub-problems":[59],"are":[60],"solved":[61],"using":[62],"direction":[64],"method":[65,88],"multipliers":[67],"accelerated":[69],"proximal":[70],"gradient":[71],"descent.":[72],"Moreover,":[73],"we":[74],"provide":[75],"performance":[77],"bound":[78],"proposed":[81,87],"method.":[82],"effectiveness":[84],"validated":[90],"for":[91],"both":[92],"synthetic":[93],"real-world":[95],"datasets.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
