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math.OC2025
Better Convergence Guarantees for Sign-Based Momentum Methods
Wei Jiang, Dingzhi Yu, Sifan Yang +3
This paper presents an improved analysis for sign-based methods with momentum updates. Traditional sign-based methods obtain a convergence rate of under the…
math.OC2025
Mirror Descent Under Generalized Smoothness
Dingzhi Yu, Wei Jiang, Hongyi Tao +2
Smoothness is crucial for attaining fast rates in first-order optimization. However, many optimization problems in modern machine learning involve non-smooth objectives. Recent stu…
math.OC2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang, Sifan Yang, Yibo Wang +1
This paper explores adaptive variance reduction methods for stochastic optimization based on the STORM technique. Existing adaptive extensions of STORM rely on strong assumptions l…