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one-dimensional 1optimal convergence rate 1stochastic convex optimization 1subgaussian noise 1zero-order optimization 1

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1 paper

math.OC2026

Sharp Optimal Algorithm for Derivative-Free Stochastic Convex Optimization in One Dimension

Alexandra Carpentier, Chloé Rouyer, Alexandre Tsybakov +1

The paper introduces a computationally efficient algorithm for one‑dimensional stochastic convex optimization using only noisy function evaluations, achieving the optimal O(1/√T) c…