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L0Learn - Fast Algorithms for Best Subset Selection
Highly optimized toolkit for approximately solving L0-regularized learning problems (a.k.a. best subset selection). The algorithms are based on coordinate descent and local combinatorial search. For more details, check the paper by Hazimeh and Mazumder (2020) <10.1287/opre.2019.1919>.
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compressed-sensingfeature-selectionl0-regularizationl0learnmachine-learningregularizationsparse-modelingsparse-regressionopenblascpp
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