Linear time dynamic programming for the exact path of optimal models selected from a finite set

5 Mar 2020Toby HockingJoseph Vargovich

Many learning algorithms are formulated in terms of finding model parameters which minimize a data-fitting loss function plus a regularizer. When the regularizer involves the l0 pseudo-norm, the resulting regularization path consists of a finite set of models... (read more)

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