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ParK: Sound and Efficient Kernel Ridge Regression by Feature Space
  Partitions

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

23 June 2021
Luigi Carratino
Stefano Vigogna
Daniele Calandriello
Lorenzo Rosasco
ArXivPDFHTML

Papers citing "ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions"

3 / 3 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
Ernesto De Vito
Lorenzo Rosasco
27
3
0
22 Nov 2023
Locally Smoothed Gaussian Process Regression
Locally Smoothed Gaussian Process Regression
Davit Gogolashvili
B. Kozyrskiy
Maurizio Filippone
30
8
0
18 Oct 2022
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
281
0
09 Aug 2012
1