Less is More: Nyström Computational Regularization

16 July 2015

Papers citing "Less is More: Nyström Computational Regularization"

7 / 7 papers shown

Title
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 101 0 0 18 Feb 2025
A Bound on the Maximal Marginal Degrees of Freedom Paul Dommel 105 1 0 20 Feb 2024
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 66 6 0 20 Jul 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 50 1 0 21 Feb 2023
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 54 166 0 29 Dec 2014
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Alex Gittens Michael W. Mahoney 91 414 0 07 Mar 2013
On Some Extensions of Bernstein's Inequality for Self-adjoint Operators Stanislav Minsker 85 151 0 22 Dec 2011