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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

PUNO: A Neural Operator Framework for Point Cloud Upsampling AAAI 2026
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025
Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025
On the Approximation of Kernel functions JMLR 2025
Incremental Nyström-based Multiple Kernel Clustering AAAI 2025
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method AAAI 2025
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Improved Random Features for Dot Product Kernels JMLR 2024
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NIPS 2023
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression ICML 2023
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling AAAI 2023
Quasi-Monte Carlo Graph Random Features NIPS 2023
Simplex Random Features ICML 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023
Error Estimation for Random Fourier Features AISTATS 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Tanimoto Random Features for Scalable Molecular Machine Learning NIPS 2023
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CORL 2023
A Perturbation-Based Kernel Approximation Framework JMLR 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022
Random Gegenbauer Features for Scalable Kernel Methods ICML 2022
How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022