Co-occurring keywords · papers mentioning both
Papers
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
JMLR 2025
On the Saturation Effects of Spectral Algorithms in Large Dimensions
NeurIPS 2024
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
COLT 2023
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
NeurIPS 2022
Asymptotics of Ridge(less) Regression under General Source Condition
AISTATS 2021