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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

DKM: Dense Kernelized Feature Matching for Geometry Estimation CVPR 2023
Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023
Deep Kernel Regression with Finite Learnable Kernels ACML 2023
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NIPS 2022
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs NIPS 2022
The Correlation-assisted Missing Data Estimator JMLR 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NIPS 2022
On random kernels of residual architectures UAI 2021
Certainty Equivalent Perception-Based Control L4DC 2021
Scaling Neural Tangent Kernels via Sketching and Random Features NIPS 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation NIPS 2021
Out-of-Distribution Generalization in Kernel Regression NIPS 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model NIPS 2021
On the Equivalence between Neural Network and Support Vector Machine NIPS 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios NIPS 2021
Adversarial Regression with Doubly Non-negative Weighting Matrices NIPS 2021
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees L4DC 2021
Sparse Shrunk Additive Models ICML 2020
Interpreting Robust Optimization via Adversarial Influence Functions ICML 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy ICML 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020