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Kernel Methods

571 directly classified papers

Papers per year

Papers

Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
Graph Filtration Kernels AAAI 2022
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information AAAI 2022
Chefs' Random Tables: Non-Trigonometric Random Features NIPS 2022
SignRFF: Sign Random Fourier Features NIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics NIPS 2022
Sentiment Analysis on Code-Switched Dravidian Languages with Kernel Based Extreme Learning Machines ACL 2022
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data NIPS 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NIPS 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels AAAI 2022
Additive Gaussian Processes Revisited ICML 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022
A Perturbation-Based Kernel Approximation Framework JMLR 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU NIPS 2022
Template based Graph Neural Network with Optimal Transport Distances NIPS 2022
Random Gegenbauer Features for Scalable Kernel Methods ICML 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Kernel Interpolation with Sparse Grids NIPS 2022
Active Slices for Sliced Stein Discrepancy ICML 2021
Kernel Thinning COLT 2021
How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021
Kernel Continual Learning ICML 2021
Narrow Margins: Classification, Margins and Fat Tails ICML 2021