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math.OC2026
Near-Optimal Decentralized Stochastic Convex Optimization over Networks
Nitai Kluger, Amit Attia, Tomer Koren
We study decentralized stochastic smooth convex optimization, where workers minimize an average objective using local stochastic gradients and neighbor-only communication over…
cs.LG2026
Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
Yuheng Zhao, Yu-Hu Yan, Amit Attia +3
Parameter-free stochastic optimization aims to design algorithms that are agnostic to the underlying problem parameters while still achieving convergence rates competitive with opt…