On the Error of Random Fourier Features

9 June 2015

Papers citing "On the Error of Random Fourier Features"

31 / 31 papers shown

Title
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning Dmitry B. Rokhlin Olga V. Gurtovaya 46 0 0 25 Mar 2025
Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich Tim Jahn Michael Quellmalz 26 5 0 02 Oct 2024
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 42 0 0 24 Aug 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes J. Lin Shreyas Padhy Bruno Mlodozeniec Javier Antorán José Miguel Hernández-Lobato 43 2 0 28 May 2024
Dynamic Online Ensembles of Basis Expansions Daniel Waxman Petar M. Djurić 40 3 0 02 May 2024
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 27 12 0 20 Sep 2023
FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features Valerii Likhosherstov K. Choromanski Kumar Avinava Dubey Frederick Liu Tamás Sarlós Adrian Weller 18 3 0 01 Feb 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 38 9 0 14 Jan 2023
Provably Reliable Large-Scale Sampling from Gaussian Processes Anthony Stephenson Robert Allison Edward O. Pyzer-Knapp 21 2 0 15 Nov 2022
On The Relative Error of Random Fourier Features for Preserving Kernel Distance Kuan Cheng S. Jiang Luojian Wei Zhide Wei 38 1 0 01 Oct 2022
Random Fourier Features for Asymmetric Kernels Ming-qian He Fan He Fanghui Liu Xiaolin Huang 25 3 0 18 Sep 2022
Neural Implicit Dictionary via Mixture-of-Expert Training Peihao Wang Zhiwen Fan Tianlong Chen Zhangyang Wang 25 12 0 08 Jul 2022
Chefs' Random Tables: Non-Trigonometric Random Features Valerii Likhosherstov K. Choromanski Kumar Avinava Dubey Frederick Liu Tamás Sarlós Adrian Weller 33 17 0 30 May 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 24 33 0 14 Apr 2022
Transparent Single-Cell Set Classification with Kernel Mean Embeddings Siyuan Shan Vishal Baskaran Haidong Yi Jolene S Ranek Natalie Stanley Junier Oliva 19 11 0 18 Jan 2022
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 28 20 0 27 Oct 2021
Nonlinear Distribution Regression for Remote Sensing Applications J. Adsuara Adrián Pérez-Suay Jordi Munoz-Marí Anna Mateo-Sanchis M. Piles Gustau Camps-Valls 21 17 0 07 Dec 2020
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 18 57 0 08 Nov 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 25 101 0 26 Feb 2020
COKE: Communication-Censored Decentralized Kernel Learning Ping Xu Yue Wang Xiang Chen Z. Tian 15 20 0 28 Jan 2020
Gaussian Processes with Errors in Variables: Theory and Computation Shuang Zhou D. Pati Tianying Wang Yun Yang R. Carroll 16 3 0 14 Oct 2019
On Kernel Derivative Approximation with Random Fourier Features Z. Szabó Bharath K. Sriperumbudur 26 12 0 11 Oct 2018
Random Feature Stein Discrepancies Jonathan H. Huggins Lester W. Mackey 32 45 0 20 Jun 2018
Gaussian Quadrature for Kernel Features Tri Dao Christopher De Sa Christopher Ré 23 49 0 08 Sep 2017
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features P. Bouboulis S. Chouvardas Sergios Theodoridis 24 69 0 23 Mar 2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Eric V. Strobl Anton van den Hengel Shyam Visweswaran BDL 22 169 0 13 Feb 2017
Operator-Valued Bochner Theorem, Fourier Feature Maps for Operator-Valued Kernels, and Vector-Valued Learning H. Q. Minh 23 18 0 19 Aug 2016
Linearized GMM Kernels and Normalized Random Fourier Features Ping Li 22 9 0 18 May 2016
Bayesian Nonparametric Kernel-Learning Junier Oliva Kumar Avinava Dubey A. Wilson Barnabás Póczós J. Schneider Eric P. Xing BDL 16 71 0 29 Jun 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 21 128 0 06 Jun 2015