arXiv Machine Learning By Dongruo Zhou

Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization

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arXiv:2606. 05438v1 Announce Type: new Abstract: We study the deterministic first-order oracle complexity of finding \(\epsilon\)-stationary points in smooth nonconvex optimization when the objective satisfies higher-order smoothness assumptions.

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