Optimal rates for the regularized learning algorithms under general
source condition

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Optimal rates for the regularized learning algorithms under general source condition

7 November 2016

Abhishake Rastogi

Sivananthan Sampath

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Papers citing "Optimal rates for the regularized learning algorithms under general source condition"

17 / 17 papers shown

Title
Regularized least squares learning with heavy-tailed noise is minimax optimal Mattes Mollenhauer Nicole Mücke Dimitri Meunier Arthur Gretton 91 0 0 20 May 2025
On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu Haobo Zhang Yicheng Li Q. Lin 112 2 0 01 Mar 2025
On the Saturation Effect of Kernel Ridge Regression Yicheng Li Haobo Zhang Qian Lin 164 21 0 15 May 2024
Generalization error of spectral algorithms Maksim Velikanov Maxim Panov Dmitry Yarotsky 81 1 0 18 Mar 2024
Asymptotic Theory for Linear Functionals of Kernel Ridge Regression Rui Tuo Lu Zou 57 0 0 07 Mar 2024
On the Optimality of Misspecified Kernel Ridge Regression Haobo Zhang Yicheng Li Weihao Lu Qian Lin 122 14 0 12 May 2023
On the Optimality of Misspecified Spectral Algorithms Hao Zhang Yicheng Li Qian Lin 79 18 0 27 Mar 2023
Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition Prem M. Talwai D. Simchi-Levi 35 2 0 16 Apr 2022
Nonparametric approximation of conditional expectation operators Mattes Mollenhauer P. Koltai 99 17 0 23 Dec 2020
Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping Nicole Mücke Enrico Reiss 47 7 0 18 Jun 2020
Inverse learning in Hilbert scales Abhishake Rastogi Peter Mathé 31 6 0 24 Feb 2020
Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems Abhishake Rastogi 66 5 0 01 Feb 2020
Lepskii Principle in Supervised Learning Gilles Blanchard Peter Mathé Nicole Mücke 63 12 0 26 May 2019
Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems Abhishake Rastogi Gilles Blanchard Peter Mathé 35 8 0 14 Feb 2019
Adaptivity for Regularized Kernel Methods by Lepskii's Principle Nicole Mücke 22 3 0 15 Apr 2018
Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces Junhong Lin Alessandro Rudi Lorenzo Rosasco Volkan Cevher 185 99 0 20 Jan 2018
Manifold regularization based on Nystr{ö}m type subsampling Abhishake Rastogi Sivananthan Sampath 55 4 0 13 Oct 2017