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1709.02605
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Gaussian Quadrature for Kernel Features
8 September 2017
Tri Dao
Christopher De Sa
Christopher Ré
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Papers citing
"Gaussian Quadrature for Kernel Features"
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Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
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Max Balakirsky
Simon Mak
254
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23 Oct 2023
Kernel Interpolation with Sparse Grids
Neural Information Processing Systems (NeurIPS), 2023
Mohit Yadav
Daniel Sheldon
Cameron Musco
215
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23 May 2023
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
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Kuan Cheng
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Luojian Wei
Zhide Wei
353
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01 Oct 2022
Learning nonparametric ordinary differential equations from noisy data
Journal of Computational Physics (JCP), 2022
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Michael L. Wells
Victor Rielly
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David M Lovitz
Bruno Jedynak
351
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On Learning the Transformer Kernel
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Mrinmaya Sachan
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Large-Scale Learning with Fourier Features and Tensor Decompositions
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Fast Newton method solving KLR based on Multilevel Circulant Matrix with log-linear complexity
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Shuisheng Zhou
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Feng Ye
245
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
International Conference on Machine Learning (ICML), 2021
Shengyang Sun
Jiaxin Shi
A. Wilson
Roger C. Grosse
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No-Regret Algorithms for Private Gaussian Process Bandit Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Abhimanyu Dubey
199
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Learning with Density Matrices and Random Features
Quantum Machine Intelligence (QMI), 2021
Fabio A. González
Joseph A. Gallego-Mejia
Santiago Toledo-Cortés
Santiago Acevedo-Mancera
418
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08 Feb 2021
Gauss-Legendre Features for Gaussian Process Regression
Journal of machine learning research (JMLR), 2021
Paz Fink Shustin
H. Avron
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375
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Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
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Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
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HiPPO: Recurrent Memory with Optimal Polynomial Projections
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Tri Dao
Stefano Ermon
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Christopher Ré
502
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Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
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Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
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Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
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204
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No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
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José C. Príncipe
137
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Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
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Fanghui Liu
Xiaolin Huang
Yudong Chen
Jie Yang
Johan A. K. Suykens
196
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Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation
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274
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Learning Data-adaptive Nonparametric Kernels
Fanghui Liu
Xiaolin Huang
Chen Gong
Jie Yang
Li Li
345
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A Kernel Theory of Modern Data Augmentation
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Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
394
214
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16 Mar 2018
Quadrature-based features for kernel approximation
Marina Munkhoeva
Yermek Kapushev
Evgeny Burnaev
Ivan Oseledets
365
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11 Feb 2018
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