2020
Bounding the expected run-time of nonconvex optimization with early stopping
UAI 2020poster
This work examines the convergence of stochastic gradient-based optimization algorithms that use early stopping based on a validation function. The form of early stopping we consider is that optimization terminates when the norm of the gradient of a validation function falls below a threshold. We d…