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kernel approximation

100 papers

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Co-occurring keywords

kernel methods (1097) random feature (89) random fourier feature (59) gaussian process (1200) nystrom method (46) nyström method (32) low-rank approximation (323) kernel ridge regression (111) gaussian process regression (133) gaussian kernel (60)

Papers

A Perturbation-Based Kernel Approximation Framework JMLR 2022
How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements AISTATS 2021
What can linearized neural networks actually say about generalization? NIPS 2021
Local Differential Privacy for Bayesian Optimization AAAI 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients AAAI 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
Multipole Graph Neural Operator for Parametric Partial Differential Equations NIPS 2020
Fourier Sparse Leverage Scores and Approximate Kernel Learning NIPS 2020
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020
Orlicz Random Fourier Features JMLR 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020
Kernel Approximation Methods for Speech Recognition JMLR 2019
Bayesian Optimization under Heavy-tailed Payoffs NIPS 2019
Unifying Orthogonal Monte Carlo Methods ICML 2019
Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019
Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation AISTATS 2019
Learning Adaptive Random Features AAAI 2019
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NIPS 2018
The Geometry of Random Features AISTATS 2018