Search Results for author: Nicolas D'Imperio

Found 1 papers, 0 papers with code

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

no code implementations20 Feb 2020 Thomas Flynn, Kwang Min Yu, Abid Malik, Nicolas D'Imperio, Shinjae Yoo

This work examines the convergence of stochastic gradient-based optimization algorithms that use early stopping based on a validation function.

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