kernel regression

Physical Property Understanding from Language-Embedded Feature Fields CVPR 2024 Physics-informed machine learning as a kernel method COLT 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Solving Attention Kernel Regression Problem via Pre-conditioner AISTATS 2024 The optimality of kernel classifiers in Sobolev space ICLR 2024 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023 Benign overfitting in ridge regression JMLR 2023 Deep Kernel Regression with Finite Learnable Kernels ACML 2023 Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NeurIPS 2023 Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 DKM: Dense Kernelized Feature Matching for Geometry Estimation CVPR 2023 Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023 Koopman Kernel Regression NeurIPS 2023 Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023 Near Optimal Reconstruction of Spherical Harmonic Expansions NeurIPS 2023 Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023 Strong inductive biases provably prevent harmless interpolation ICLR 2023 A Generalized Weighted Optimization Method for Computational Learning and Inversion ICLR 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NeurIPS 2022 Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs NeurIPS 2022 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022 More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022