Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

20 January 2018

Papers citing "Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces"

8 / 8 papers shown

Title
Regularized least squares learning with heavy-tailed noise is minimax optimal Mattes Mollenhauer Nicole Mücke Dimitri Meunier Arthur Gretton 42 0 0 20 May 2025
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms Junhong Lin Volkan Cevher 36 34 0 22 Jan 2018
Optimal rates for the regularized learning algorithms under general source condition Abhishake Rastogi Sivananthan Sampath 37 31 0 07 Nov 2016
Distributed learning with regularized least squares Shaobo Lin Xin Guo Ding-Xuan Zhou 104 190 0 11 Aug 2016
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 427 143 0 14 Apr 2016
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 58 330 0 14 Feb 2016
Less is More: Nyström Computational Regularization Alessandro Rudi Raffaello Camoriano Lorenzo Rosasco 33 277 0 16 Jul 2015
On the Sample Complexity of Subspace Learning Alessandro Rudi Guillermo D. Cañas Lorenzo Rosasco 35 29 0 21 Aug 2014