Analyzing the discrepancy principle for kernelized spectral filter learning algorithms

17 April 2020

Papers citing "Analyzing the discrepancy principle for kernelized spectral filter learning algorithms"

5 / 5 papers shown

Title
Spectral Algorithms on Manifolds through Diffusion Weichun Xia Lei Shi 26 1 0 06 Mar 2024
On the Optimality of Misspecified Spectral Algorithms Hao Zhang Yicheng Li Qian Lin 25 15 0 27 Mar 2023
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks Ilja Kuzborskij Csaba Szepesvári 23 4 0 28 Dec 2022
From inexact optimization to learning via gradient concentration Bernhard Stankewitz Nicole Mücke Lorenzo Rosasco 26 5 0 09 Jun 2021
Minimum discrepancy principle strategy for choosing $k$ in $k$ -NN regression Yaroslav Averyanov Alain Celisse 21 0 0 20 Aug 2020