Risk Bounds of Accelerated SGD for Overparameterized Linear Regression.

Xuheng Li Yihe Deng Jingfeng Wu Dongruo Zhou Quanquan Gu

Published in: CoRR (2023)

Keyphrases

linear regression
risk bounds
data dependent
least squares
empirical risk minimization
learning algorithm
regression problems
statistical learning theory
stochastic processes
vc dimension
regression methods
ridge regression
regression method
regret bounds
bayesian networks
learning problems
feature space