Kernel Methods

Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Regularized Radon-Nikodym Differentiation JMLR 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 On the Optimality of Misspecified Spectral Algorithms JMLR 2024 On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity NeurIPS 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 Physics-informed machine learning as a kernel method COLT 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Recursive Estimation of Conditional Kernel Mean Embeddings JMLR 2024 Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels AISTATS 2024 Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024 Spectrally Transformed Kernel Regression ICLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Stein Random Feature Regression UAI 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024