A sign-flipped SVRG variant called BP-SVRG adds stochastic-gradient noise instead of cancelling it, and empirically generalizes better than standard SVRG and often better than SGD on CIFAR and SVHN image classifiers.
Accelerated gradient methods for nonconvex nonlinear and stochastic programming
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
A sign-flipped SVRG variant called BP-SVRG adds stochastic-gradient noise instead of cancelling it, and empirically generalizes better than standard SVRG and often better than SGD on CIFAR and SVHN image classifiers.