Fridge regression is a new penalty family that keeps a prespecified number of coefficients non-zero under extreme regularization, combining lasso speed with best-subset interpretability.
(1995), ‘Better subset regression using the nonnegative garrote’,Technometrics 37(4), 373–384
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Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression
Fridge regression is a new penalty family that keeps a prespecified number of coefficients non-zero under extreme regularization, combining lasso speed with best-subset interpretability.