The continuous stochastic gradient method: part I-convergence theory.

Max Grieshammer Lukas Pflug Michael Stingl Andrian Uihlein

Published in: Comput. Optim. Appl. (2024)

Keyphrases

machine learning
gradient method
convergence rate
convergence speed
step size
learning rate
negative matrix factorization
log likelihood function
information extraction
natural language processing
convex formulation
neural network
multiresolution