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

23 June 2021

Luigi Carratino

Stefano Vigogna

Daniele Calandriello

Lorenzo Rosasco

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

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Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 70 5 0 22 Nov 2023
Snacks: a fast large-scale kernel SVM solver Sofiane Tanji Andrea Della Vecchia François Glineur S. Villa 19 0 0 17 Apr 2023
Locally Smoothed Gaussian Process Regression Davit Gogolashvili B. Kozyrskiy Maurizio Filippone 49 8 0 18 Oct 2022
Mean Nyström Embeddings for Adaptive Compressive Learning Antoine Chatalic Luigi Carratino Ernesto De Vito Lorenzo Rosasco 34 7 0 21 Oct 2021
Kernel PCA with the Nyström method Fredrik Hallgren 34 3 0 12 Sep 2021