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) doi:10.1287/opre.2019.1919.
- Version2.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Hazimeh and Mazumder (2020)
- Last release03/07/2023
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Hussein Hazimeh
Rahul Mazumder
Show author detailsRolesAuthorTim Nonet
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