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Kernel Methods

96 directly classified papers

Papers per year

Papers

Incremental Nyström-based Multiple Kernel Clustering AAAI 2025
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Infinite-Dimensional Feature Interaction NIPS 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Provable and Efficient Dataset Distillation for Kernel Ridge Regression NIPS 2024
A Kernel Perspective on Distillation-based Collaborative Learning NIPS 2024
Learning to Embed Distributions via Maximum Kernel Entropy NIPS 2024
Practical Markov Boundary Learning without Strong Assumptions AAAI 2023
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model NIPS 2023
Deep learning with kernels through RKHM and the Perron-Frobenius operator NIPS 2023
Tanimoto Random Features for Scalable Molecular Machine Learning NIPS 2023
Kernel Multimodal Continuous Attention NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NIPS 2022
Target alignment in truncated kernel ridge regression NIPS 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
Personalized Online Federated Learning with Multiple Kernels NIPS 2022
Forward Operator Estimation in Generative Models with Kernel Transfer Operators ICML 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022