On the Convergence of A Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.

Published in: CoRR (2024)

Keyphrases

stochastic gradient descent
data driven
least squares
step size
matrix factorization
loss function
convergence rate
random forests
convergence speed
support vector machine
weight vector
online algorithms
image processing
objective function
cost function
logistic regression