Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky

4 October 2024

Papers citing "Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky"

14 / 14 papers shown

Title
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project Pratik Rathore Zachary Frangella Sachin Garg Shaghayegh Fazliani Michał Dereziński Madeleine Udell 50 0 0 19 May 2025
The fast committor machine: Interpretable prediction with kernels D. Aristoff Mats S. Johnson Gideon Simpson Robert J. Webber 50 5 0 16 May 2024
Kernel quadrature with randomly pivoted Cholesky Ethan N. Epperly Elvira Moreno 64 9 0 06 Jun 2023
Robust, randomized preconditioning for kernel ridge regression Mateo Díaz Ethan N. Epperly Zachary Frangella J. Tropp R. Webber 59 12 0 24 Apr 2023
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations Yifan Chen Ethan N. Epperly J. Tropp R. Webber 48 32 0 13 Jul 2022
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 90 910 0 14 Oct 2020
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 68 116 0 18 Jun 2020
Exact Gaussian Processes on a Million Data Points Ke Alexander Wang Geoff Pleiss Jacob R. Gardner Stephen Tyree Kilian Q. Weinberger A. Wilson GP 45 229 0 19 Mar 2019
On Fast Leverage Score Sampling and Optimal Learning Alessandro Rudi Daniele Calandriello Luigi Carratino Lorenzo Rosasco 46 82 0 31 Oct 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner Geoff Pleiss D. Bindel Kilian Q. Weinberger A. Wilson GP 129 1,097 0 28 Sep 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 126 342 0 06 Jul 2018
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices Cameron Musco David P. Woodruff 44 58 0 11 Apr 2017
Faster Kernel Ridge Regression Using Sketching and Preconditioning H. Avron K. Clarkson David P. Woodruff 65 125 0 10 Nov 2016
Preconditioning Kernel Matrices Kurt Cutajar Michael A. Osborne John P. Cunningham Maurizio Filippone 58 73 0 22 Feb 2016