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Kernel Methods

34 directly classified papers

Papers per year

Papers

Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces AAAI 2026
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NIPS 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NIPS 2024
Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023
How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NIPS 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime NIPS 2022
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel AAAI 2022
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NIPS 2021
A kernel test for quasi-independence NIPS 2020
Finite Versus Infinite Neural Networks: an Empirical Study NIPS 2020
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NIPS 2020
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020
Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NIPS 2018
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018
Relating Leverage Scores and Density using Regularized Christoffel Functions NIPS 2018
Statistical and Computational Trade-Offs in Kernel K-Means NIPS 2018
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NIPS 2016
Sorting out typicality with the inverse moment matrix SOS polynomial NIPS 2016
Orthogonal Random Features NIPS 2016
Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015