{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/learning-task-structure-via-sparsity-grouped","title":"Learning task structure via sparsity grouped multitask learning","arxiv_id":"1705.04886","date":"2017-05-13","proceeding":null,"authors":["Meghana Kshirsagar","Eunho Yang","Aurélie C. Lozano"],"abstract":"Sparse mapping has been a key methodology in many high-dimensional scientific\nproblems. When multiple tasks share the set of relevant features, learning them\njointly in a group drastically improves the quality of relevant feature\nselection. However, in practice this technique is used limitedly since such\ngrouping information is usually hidden. In this paper, our goal is to recover\nthe group structure on the sparsity patterns and leverage that information in\nthe sparse learning. Toward this, we formulate a joint optimization problem in\nthe task parameter and the group membership, by constructing an appropriate\nregularizer to encourage sparse learning as well as correct recovery of task\ngroups. We further demonstrate that our proposed method recovers groups and the\nsparsity patterns in the task parameters accurately by extensive experiments.","url_abs":"http://arxiv.org/abs/1705.04886v2","url_pdf":"http://arxiv.org/pdf/1705.04886v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"learning-task-structure-via-sparsity-grouped","repo_url":"https://github.com/meghana-kshirsagar/treemtl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"sparse-learning","task_name":"Sparse Learning"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}