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kernel ridge regression

130 papers

KRR

Papers

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features ICML 2024 A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression NeurIPS 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023 Gradient Boosting Performs Gaussian Process Inference ICLR 2023 Kernelized Reinforcement Learning with Order Optimal Regret Bounds NeurIPS 2023 Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective NeurIPS 2023 On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NeurIPS 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 On the Saturation Effect of Kernel Ridge Regression ICLR 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 On the Sublinear Regret of GP-UCB NeurIPS 2023 Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023 Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model NeurIPS 2023 Sample Complexity of Kernel-Based Q-Learning AISTATS 2023 The Exact Sample Complexity Gain from Invariances for Kernel Regression NeurIPS 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022 Distributed Randomized Sketching Kernel Learning AAAI 2022 Distribution Regression with Sliced Wasserstein Kernels ICML 2022 Efficient Dataset Distillation using Random Feature Approximation NeurIPS 2022 Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022 Implicit kernel meta-learning using kernel integral forms UAI 2022