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cs.LG2026
Analysis of Adam Algorithms for Stochastic Dynamic Systems
Xin Zheng, Yifei Jin, Lei Guo
The adaptive moment estimation algorithm, known as Adam, is widely used in modern machine learning, owing to its low per-iteration complexity and strong empirical performance. Desp…
eess.SY2026
Gradient-Based Adaptive Prediction and Control for Nonlinear Dynamical Systems
Yujing Liu, Xin Zheng, Zhixin Liu +1
This paper investigates gradient-based adaptive prediction and control for nonlinear stochastic dynamical systems under a weak convexity condition on the prediction-based loss. Thi…
cs.LG2026
Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
Yifei Jin, Xin Zheng, Lei Guo
In large-scale data processing scenarios, data often arrive in sequential streams generated by complex systems that exhibit drifting distributions and time-varying system parameter…