{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:11:58Z","timestamp":1750824718077,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61473123"],"award-info":[{"award-number":["61473123"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-15-1-2821"],"award-info":[{"award-number":["N00014-15-1-2821"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1552654"],"award-info":[{"award-number":["IIS-1552654"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"IBM Faculty Award"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098133","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"1255-1264","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-task Function-on-function Regression with Co-grouping Structured Sparsity"],"prefix":"10.1145","author":[{"given":"Pei","family":"Yang","sequence":"first","affiliation":[{"name":"South China University of Technology & Arizona State University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Tan","sequence":"additional","affiliation":[{"name":"South China Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingrui","family":"He","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil 2006. Multi-Task Feature Learning. In NIPS. 41--48. Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil 2006. Multi-Task Feature Learning. In NIPS. 41--48.","DOI":"10.2139\/ssrn.1031158"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/1522-2594(200010)44:4%3C625::AID-MRM17%3E3.0.CO;2-O"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1346"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1198\/jcgs.2010.10007"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339672"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Pinghua Gong Jiayu Zhou Wei Fan and Jieping Ye. 2014. Efficient Multi-task Feature Learning with Calibration KDD. 761--770. Pinghua Gong Jiayu Zhou Wei Fan and Jieping Ye. 2014. Efficient Multi-task Feature Learning with Calibration KDD. 761--770.","DOI":"10.1145\/2623330.2623641"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783393"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.09.034"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-014-0548-4"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOS641"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Shuiwang Ji and Jieping Ye 2009. An Accelerated Gradient Method for Trace Norm Minimization ICML. 457--464. Shuiwang Ji and Jieping Ye 2009. An Accelerated Gradient Method for Trace Norm Minimization ICML. 457--464.","DOI":"10.1145\/1553374.1553434"},{"key":"e_1_3_2_1_12_1","volume-title":"Operator-valued Kernels for Learning from Functional Response Data. Journal of Machine Learning Research","author":"Kadri Hachem","year":"2015","unstructured":"Hachem Kadri , Emmanuel Duflos , Philippe Preux , St\u00e9phane Canu , Alain Rakotomamonjy , and Julien Audiffren 2015. Operator-valued Kernels for Learning from Functional Response Data. Journal of Machine Learning Research ( 2015 ). Hachem Kadri, Emmanuel Duflos, Philippe Preux, St\u00e9phane Canu, Alain Rakotomamonjy, and Julien Audiffren 2015. Operator-valued Kernels for Learning from Functional Response Data. Journal of Machine Learning Research (2015)."},{"key":"e_1_3_2_1_13_1","volume-title":"Xing","author":"Kim Seyoung","year":"2010","unstructured":"Seyoung Kim and Eric P . Xing 2010 . Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity ICML. 543--550. Seyoung Kim and Eric P. Xing 2010. Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity ICML. 543--550."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2011.08.005"},{"key":"e_1_3_2_1_15_1","unstructured":"Giwoong Lee Eunho Yang and Sung Ju Hwang 2016. Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML. 230--238. Giwoong Lee Eunho Yang and Sung Ju Hwang 2016. Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML. 230--238."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1037\/cp2007014"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/biom.12299"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-010814-020413"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000000751"},{"key":"e_1_3_2_1_20_1","volume-title":"Ding","author":"Nie Feiping","year":"2012","unstructured":"Feiping Nie , Heng Huang , and Chris H. Q . Ding 2012 . Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization AAAI. Feiping Nie, Heng Huang, and Chris H. Q. Ding 2012. Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization AAAI."},{"key":"e_1_3_2_1_21_1","volume-title":"Schneider","author":"Oliva Junier B.","year":"2015","unstructured":"Junier B. Oliva , Willie Neiswanger , Barnab\u00e1s P\u00f3czos , Eric P. Xing , Hy Trac , Shirley Ho , and Jeff G . Schneider . 2015 . Fast Function to Function Regression. In AISTATS. Junier B. Oliva, Willie Neiswanger, Barnab\u00e1s P\u00f3czos, Eric P. Xing, Hy Trac, Shirley Ho, and Jeff G. Schneider. 2015. Fast Function to Function Regression. In AISTATS."},{"key":"e_1_3_2_1_22_1","volume-title":"Applied Functional Data Analysis","author":"Ramsay J.O.","unstructured":"J.O. Ramsay and B.W. Silverman 2002. Applied Functional Data Analysis ( 1 st ed.). New York : Springer-Verlag . J.O. Ramsay and B.W. Silverman 2002. Applied Functional Data Analysis (1st ed.). New York: Springer-Verlag.","edition":"1"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/0470013192.bsa239"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2014.901914"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Pei Yang and Jingrui He 2016. Functional Regression with Mode-Sparsity Constraint ICDM. 1311--1316. Pei Yang and Jingrui He 2016. Functional Regression with Mode-Sparsity Constraint ICDM. 1311--1316.","DOI":"10.1109\/ICDM.2016.0178"},{"key":"e_1_3_2_1_26_1","volume-title":"Xing","author":"Yang Xiaolin","year":"2009","unstructured":"Xiaolin Yang , Seyoung Kim , and Eric P . Xing 2009 . Heterogeneous Multitask Learning with Joint Sparsity Constraints NIPS. 2151--2159. Xiaolin Yang, Seyoung Kim, and Eric P. Xing 2009. Heterogeneous Multitask Learning with Joint Sparsity Constraints NIPS. 2151--2159."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000001745"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053605000000660"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS772"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2006.00713.x"},{"key":"e_1_3_2_1_31_1","unstructured":"Jiayu Zhou Jianhui Chen and Jieping Ye 2011. Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS. 702--710. Jiayu Zhou Jianhui Chen and Jieping Ye 2011. Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS. 702--710."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Jiayu Zhou Jun Liu Vaibhav A. Narayan and Jieping Ye. 2012. Modeling Disease Progression via Fused Sparse Group Lasso KDD. 1095--1103. Jiayu Zhou Jun Liu Vaibhav A. Narayan and Jieping Ye. 2012. Modeling Disease Progression via Fused Sparse Group Lasso KDD. 1095--1103.","DOI":"10.1145\/2339530.2339702"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-LNMS5711"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Halifax NS Canada","acronym":"KDD '17"},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098133","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098133","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T20:37:55Z","timestamp":1750797475000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":33,"alternative-id":["10.1145\/3097983.3098133","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098133","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}