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  "Title": "Sparse Multi-Task Learning",
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  "Authors@R": "c(person(\"Gabriel\", \"Loewinger\", email = \"gloewinger@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-0755-8520\")), \nperson(\"Kayhan\", \"Behdin\", email = \"behdink@mit.edu\", role = c(\"aut\")),\nperson(\"Giovanni\", \"Parmigiani\", email = \"gp@jimmy.harvard.edu\", role = c(\"aut\")),\nperson(\"Rahul\", \"Mazumder\", email = \"rahulmaz@mit.edu\", role = c(\"aut\")),\nperson(\"National Science Foundation\", \"Grant DMS1810829\", role = c(\"fnd\")),\nperson(\"National Science Foundation\", \"Grant DMS2113707\", role = c(\"fnd\")),\nperson(\"National Science Foundation\", \"Grant NSF-IIS1718258,\", role = c(\"fnd\")),\nperson(\"Office of Naval Research\", \"Grant ONR N000142112841\", role = c(\"fnd\")),\nperson(\"National Institute on Drug Abuse (NIH)\", \"Grant F31DA052153\", role = c(\"fnd\")))",
  "Description": "Implements L0-constrained Multi-Task Learning and domain\ngeneralization algorithms. The algorithms are coded in Julia\nallowing for fast implementations of the coordinate descent and\nlocal combinatorial search algorithms. For more details, see a\npreprint of the paper: Loewinger et al., (2022)\n<arXiv:2212.08697>.",
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  "Maintainer": "Gabriel Loewinger <gloewinger@gmail.com>",
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  "Author": "Gabriel Loewinger [aut, cre]\n(<https://orcid.org/0000-0002-0755-8520>), Kayhan Behdin [aut],\nGiovanni Parmigiani [aut], Rahul Mazumder [aut], National\nScience Foundation Grant DMS1810829 [fnd], National Science\nFoundation Grant DMS2113707 [fnd], National Science Foundation\nGrant NSF-IIS1718258, [fnd], Office of Naval Research Grant ONR\nN000142112841 [fnd], National Institute on Drug Abuse (NIH)\nGrant F31DA052153 [fnd]",
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