"kernel regression" Papers

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How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings

Samuel Audia, Soheil Feizi, Matthias Zwicker et al.

ICLR 2025posterarXiv:2504.13412
1
citations

Optimal kernel regression bounds under energy-bounded noise

Amon Lahr, Johannes Köhler, Anna Scampicchio et al.

NeurIPS 2025posterarXiv:2505.22235
1
citations

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

Taeyoung Kim, Hongseok Yang

ICML 2024posterarXiv:2312.03386

An Iterative Min-Min Optimization Method for Sparse Bayesian Learning

Yasen Wang, Junlin Li, Zuogong Yue et al.

ICML 2024poster

Distributionally Robust Data Valuation

Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu et al.

ICML 2024poster

Generalization in Kernel Regression Under Realistic Assumptions

Daniel Barzilai, Ohad Shamir

ICML 2024spotlightarXiv:2312.15995

Robust Nonparametric Regression under Poisoning Attack

Puning Zhao, Zhiguo Wan

AAAI 2024paperarXiv:2305.16771
11
citations