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On the connections between algorithmic regularization and penalization for convex losses

arXiv 1909.03371 ↗First posted 8 Sep 2019math.OC stat.MLcited by 1

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Abstract (arXiv)

In this work we establish the equivalence of algorithmic regularization and explicit convex penalization for generic convex losses. We introduce a geometric condition for the optimization path of a convex function, and show that if such a condition is satisfied, the optimization path of an iterative algorithm on the unregularized optimization problem can be represented as the solution path of a corresponding penalized problem.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 8 Sep 2019.

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