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math.OC2026
Why Does Adaptive Zeroth-Order Optimization Work?
Haishan Ye, Luo Luo
Zeroth-order (ZO) optimization is popular in real-world applications that accessing the gradient information is expensive or unavailable. Recently, adaptive ZO methods that normali…
math.OC2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou, Haishan Ye, Luo Luo
This paper considers the distributed convex-concave minimax optimization under the second-order similarity. We propose stochastic variance-reduced optimistic gradient sliding (SVOG…