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comparison oracle 1convex optimization 1inexact gradients 1normalized gradient descent 1smoothness 1

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math.OC2026

Normalized First-Order Methods for Convex (L0, L1)-Smooth Optimization with Inexact Gradients

Evgeniy Kovalev, Fedor Stonyakin

The paper proposes and analyzes convex optimization algorithms that work with a comparison oracle providing inexact normalized gradients for (L0, L1)-smooth problems, establishing…