Stochastic Sample Approximations of (Local) Moduli of Continuity
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Abstract (arXiv)
Modulus of local continuity is used to evaluate the robustness of neural networks and fairness of their repeated uses in closed-loop models. Here, we revisit a connection between generalized derivatives and moduli of local continuity, and present a non-uniform stochastic sample approximation for moduli of local continuity. This is of importance in studying robustness of neural networks and fairness of their repeated uses.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 32 of its 76 references that are in the map. First posted on arXiv 18 Sep 2025.
Builds on
32 of 76 references.
References · 32
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20 more
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Citing papers per year: 2026: 1.
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