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Under review as a conference paper at ICLR 2027

Fixed Dimension Matters: Tight Complexity and Computational Hardness for Higher-Order Smooth Nonconvex Stationarity

Abstract

We study approximate first-order stationarity for nonconvex functions whose derivatives of orders have prescribed Lipschitz constants , and whose initial function-value gap is at most . For every **fixed** dimension and fixed order , we establish a tight oracle bound of finding -stationary points with deterministic exact gradient-only oracles. We also show that, for every fixed finite and fixed , stationary-point search is PLS-complete for bounded functions with bounded derivatives through order and Lipschitz -th derivative.

open until 14 Dec 2026

est. 32% chance this paper gets accepted at ICLR 2027.

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