Implicit Regularization of Accelerated Methods in Hilbert Spaces

30 May 2019

Papers citing "Implicit Regularization of Accelerated Methods in Hilbert Spaces"

7 / 7 papers shown

Title
Iterative regularization in classification via hinge loss diagonal descent Vassilis Apidopoulos T. Poggio Lorenzo Rosasco S. Villa 32 2 0 24 Dec 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent Yiping Lu Jose H. Blanchet Lexing Ying 40 7 0 15 May 2022
Nonparametric Topological Layers in Neural Networks Dongfang Zhao 15 0 0 27 Nov 2021
From inexact optimization to learning via gradient concentration Bernhard Stankewitz Nicole Mücke Lorenzo Rosasco 31 5 0 09 Jun 2021
When Does Preconditioning Help or Hurt Generalization? S. Amari Jimmy Ba Roger C. Grosse Xuechen Li Atsushi Nitanda Taiji Suzuki Denny Wu Ji Xu 36 32 0 18 Jun 2020
Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel Ernesto De Vito Ž. Kereta Valeriya Naumova Lorenzo Rosasco Stefano Vigogna 19 3 0 17 Jun 2020
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,157 0 04 Mar 2015