Implicit Regularization of Accelerated Methods in Hilbert Spaces

NeurIPS 2019 Nicolò PaglianaLorenzo Rosasco

We study learning properties of accelerated gradient descent methods for linear least-squares in Hilbert spaces. We analyze the implicit regularization properties of Nesterov acceleration and a variant of heavy-ball in terms of corresponding learning error bounds... (read more)

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