kernel ridge regression

Continuous time policy evaluation is easier with noisy dynamics COLT 2026 Flexible Functional Treatment Effect Estimation JMLR 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 The Generalised Kernel Covariance Measure CLeaR 2026 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Density Ratio-based Proxy Causal Learning Without Density Ratios AISTATS 2025 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method COLT 2025 Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels ICLR 2025 Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning AISTATS 2025 Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NeurIPS 2024 An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression ICLR 2024 BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges ICML 2024 Generalization error of spectral algorithms ICLR 2024 High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization ICML 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 On the Saturation Effects of Spectral Algorithms in Large Dimensions NeurIPS 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Smoothness Adaptive Hypothesis Transfer Learning ICML 2024 Supervised Kernel Thinning NeurIPS 2024