v1v2 (latest)

Fast Summation of Radial Kernels via QMC Slicing

2 October 2024

Papers citing "Fast Summation of Radial Kernels via QMC Slicing"

26 / 26 papers shown

Title
Slicing the Gaussian Mixture Wasserstein Distance Moritz Piening Robert Beinert 83 0 0 11 Apr 2025
Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows Nicolaj Rux Michael Quellmalz Gabriele Steidl 74 0 0 10 Apr 2025
Randomized Quasi-Monte Carlo Features for Kernel Approximation Yuanmin Huang Zhen Huang 112 0 0 08 Mar 2025
Generative Feature Training of Thin 2-Layer Networks J. Hertrich Sebastian Neumayer GAN 153 2 0 11 Nov 2024
(De)-regularized Maximum Mean Discrepancy Gradient Flow Zonghao Chen Aratrika Mustafi Pierre Glaser Anna Korba Arthur Gretton Bharath K. Sriperumbudur 42 8 0 23 Sep 2024
On the design of scalable, high-precision spherical-radial Fourier features Ayoub Belhadji Qianyu Julie Zhu Youssef Marzouk 71 1 0 23 Aug 2024
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 76 9 0 10 May 2024
Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms Johannes Hertrich 137 7 0 16 Jan 2024
Momentum Particle Maximum Likelihood Jen Ning Lim Juan Kuntz Samuel Power A. M. Johansen 59 9 0 12 Dec 2023
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel Paul Hagemann J. Hertrich Fabian Altekrüger Robert Beinert Jannis Chemseddine Gabriele Steidl 116 25 0 04 Oct 2023
Quasi-Monte Carlo for 3D Sliced Wasserstein Khai Nguyen Nicola Bariletto Nhat Ho 74 17 0 21 Sep 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 97 27 0 19 May 2023
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points P. Greengard M. Rachh A. Barnett 76 12 0 18 Oct 2022
The Fast Kernel Transform J. Ryan Sebastian Ament Carla P. Gomes Anil Damle 51 9 0 08 Jun 2021
Generalization Bounds for Sparse Random Feature Expansions Abolfazl Hashemi Hayden Schaeffer Robert Shi Ufuk Topcu Giang Tran Rachel A. Ward MLT 145 42 0 04 Mar 2021
cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs Yu-hsuan Shih Garrett Wright Joakim Andén Johannes P. Blaschke A. Barnett 94 27 0 16 Feb 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows Benjamin Charlier Jean Feydy J. Glaunès François-David Collin G. Durif 72 178 0 27 Mar 2020
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim Arthur Gretton 132 164 0 11 Jun 2019
Quadrature-based features for kernel approximation Marina Munkhoeva Yermek Kapushev Evgeny Burnaev Ivan Oseledets 77 54 0 11 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 291 8,939 0 25 Aug 2017
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 99 222 0 28 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 127 1,095 0 16 Aug 2016
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 103 193 0 09 Jun 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 97 166 0 29 Dec 2014
ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions William B. March Bo Xiao George Biros 116 51 0 01 Oct 2014
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 247 2,370 0 15 May 2008