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kernel regression

87 papers

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Co-occurring keywords

neural tangent kernel (205) kernel methods (1097) generalization error (285) gradient descent (1144) nonparametric regression (111) reproducing kernel hilbert space (334) random feature (89) gaussian process (1200) adaptive regression (5) support vector machine (978)

Papers

On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026
Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026
Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025
Physics-informed Kernel Learning JMLR 2025
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NIPS 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Solving Attention Kernel Regression Problem via Pre-conditioner AISTATS 2024
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes NIPS 2024
Robust Nonparametric Regression under Poisoning Attack AAAI 2024
Physics-informed machine learning as a kernel method COLT 2024
A generalized neural tangent kernel for surrogate gradient learning NIPS 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
A Kernel Perspective on Distillation-based Collaborative Learning NIPS 2024
Physical Property Understanding from Language-Embedded Feature Fields CVPR 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
Improving Adaptivity via Over-Parameterization in Sequence Models NIPS 2024
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NIPS 2023
Benign overfitting in ridge regression JMLR 2023
Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023
DKM: Dense Kernelized Feature Matching for Geometry Estimation CVPR 2023
Deep Kernel Regression with Finite Learnable Kernels ACML 2023
Near Optimal Reconstruction of Spherical Harmonic Expansions NIPS 2023