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.
Reject 68%Accept 32%
What do you think this paper will get?
All positions stay anonymous.
Related papers
Loading the map…
Discussion (0)
Sign in to comment.