Stochastic gradient descent with gradient estimator for categorical features.

Paul Peseux Maxime Berar Thierry Paquet Victor Nicollet

Published in: CoRR (2022)

Keyphrases

stochastic gradient descent
least squares
feature extraction
feature space
maximum likelihood
benchmark datasets
importance sampling
image processing
pairwise
feature set
online learning
monte carlo
multiple kernel learning
weight vector