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math.OC2026
Accelerated Implicit GDA Schemes: Theoretical Guarantees and Application to Proximal Augmented Lagrangian Methods
Jiaqi Liu, Bin Shi
Convex optimization problems with linear equality constraints arise ubiquitously in scientific computing, machine learning, and control theory. Classical Krylov methods are effecti…
math.OC2024
A Lyapunov Analysis of Accelerated PDHG Algorithms
Xueying Zeng, Bin Shi
The generalized Lasso is a remarkably versatile and extensively utilized model across a broad spectrum of domains, including statistics, machine learning, and image science. Among…