2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NeurIPS 2019poster
Stochastic gradient descent (SGD) has been widely used in machine learning due to its computational efficiency and favorable generalization properties. Recently, it has been empirically demonstrated that the gradient noise in several deep learning settings admits a non-Gaussian, heavy-tailed behavio…