Bounding the expected run-time of nonconvex optimization with early stopping

20 Feb 2020Thomas FlynnKwang Min YuAbid MalikNicolas D'ImperioShinjae Yoo

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... (read more)

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