Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent
arXiv:2310.11065v2 Announce Type: replace-cross
Abstract: Stochastic gradient descent (SGD) or stochastic approximation has been widely used in model training and stochastic optimization. While there is a huge literature on analyzing its convergence, …