# Regularization $L_1$ norm and $L_2$ norm empirical study

There are many methods to perform regularization -- $L_0$, $L_1$, and $L_2$ norm based regularization for example. According to Friedman Hastie & Tibsharani, the best regularizer depends on the problem: namely the nature of the true target function, the particular basis used, signal-to-noise ratio, and sample size.

Is there any empirical research comparing methods and performance of various regularization methods?

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