ICML "kernel regression" Papers
4 papers found
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