Scaling up Stochastic Gradient Descent for Non-convex Optimisation.

Saad Mohamad Hamad Alamri Abdelhamid Bouchachia

Published in: CoRR (2022)

Keyphrases

convex optimisation
stochastic gradient descent
least squares
loss function
matrix factorization
step size
support vector machine
regularization parameter
multiple kernel learning
weight vector
learning algorithm
decision trees
optimal solution
training set
cost function
distance metric