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Kwangmin Yu

1 accepted papers

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…

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