2020
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020poster
The choice of batch-size in a stochastic optimization algorithm plays a substantial role for both optimization and generalization. Increasing the batch-size used typically improves optimization but degrades generalization. To address the problem of improving generalization while maintaining optimal…