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Giga-scale Kernel Matrix Vector Multiplication on GPU
v1v2v3v4 (latest)

Giga-scale Kernel Matrix Vector Multiplication on GPU

Neural Information Processing Systems (NeurIPS), 2022
2 February 2022
Robert Hu
Siu Lun Chau
Dino Sejdinovic
J. Glaunès
ArXiv (abs)PDFHTML

Papers citing "Giga-scale Kernel Matrix Vector Multiplication on GPU"

12 / 12 papers shown
Fast Gaussian process inference by exact Matérn kernel decomposition
Fast Gaussian process inference by exact Matérn kernel decomposition
N. Langrené
X. Warin
Pierre Gruet
156
0
0
03 Aug 2025
Column Subset Selection and Nyström Approximation via Continuous
  Optimization
Column Subset Selection and Nyström Approximation via Continuous OptimizationOnline World Conference on Soft Computing in Industrial Applications (WSCIA), 2023
Anant Mathur
Sarat Moka
Z. Botev
198
2
0
19 Apr 2023
Faster Kernel Matrix Algebra via Density Estimation
Faster Kernel Matrix Algebra via Density EstimationInternational Conference on Machine Learning (ICML), 2021
A. Backurs
Piotr Indyk
Cameron Musco
Tal Wagner
195
9
0
16 Feb 2021
Kernel methods through the roof: handling billions of points efficiently
Kernel methods through the roof: handling billions of points efficiently
Giacomo Meanti
Luigi Carratino
Lorenzo Rosasco
Alessandro Rudi
321
125
0
18 Jun 2020
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
Kernel Operations on the GPU, with Autodiff, without Memory OverflowsJournal of machine learning research (JMLR), 2020
Benjamin Charlier
Jean Feydy
J. Glaunès
François-David Collin
G. Durif
227
199
0
27 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNeural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
979
48,785
0
03 Dec 2019
Exact Gaussian Processes on a Million Data Points
Exact Gaussian Processes on a Million Data PointsNeural Information Processing Systems (NeurIPS), 2019
Ke Alexander Wang
Geoff Pleiss
Jacob R. Gardner
Stephen Tyree
Kilian Q. Weinberger
A. Wilson
GP
310
247
0
19 Mar 2019
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU
  Acceleration
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU AccelerationNeural Information Processing Systems (NeurIPS), 2018
Jacob R. Gardner
Geoff Pleiss
D. Bindel
Kilian Q. Weinberger
A. Wilson
GP
790
1,296
0
28 Sep 2018
FALKON: An Optimal Large Scale Kernel Method
FALKON: An Optimal Large Scale Kernel MethodNeural Information Processing Systems (NeurIPS), 2017
Alessandro Rudi
Luigi Carratino
Lorenzo Rosasco
332
206
0
31 May 2017
Kernel Interpolation for Scalable Structured Gaussian Processes
  (KISS-GP)
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
A. Wilson
H. Nickisch
GP
249
543
0
03 Mar 2015
Testing the Manifold Hypothesis
Testing the Manifold Hypothesis
Charles Fefferman
S. Mitter
Hariharan Narayanan
693
636
0
01 Oct 2013
Gaussian Processes for Big Data
Gaussian Processes for Big DataConference on Uncertainty in Artificial Intelligence (UAI), 2013
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
397
1,308
0
26 Sep 2013
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