- A Proximal Descent Method for Minimizing Weakly Convex Optimization
2025/09/02 by Feng-Yi Liao, Zheng Yang, Liao, Feng-Yi +1 · 3 citations
Computer Science · Engineering · #Convergence (economics) #Convex analysis #Convex function #Convex optimization #Convexity #FOS: Electrical engineering #FOS: Mathematics #Gradient descent #Optimization and Control (math.OC) #Optimization and Variational Analysis #Proximal Gradient Methods #Regular polygon #Smoothness #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Subgradient method #Systems and Control (eess.SY) #electronic engineering #information engineering
- Handbook of Convergence Theorems for (Stochastic) Gradient Methods
2023/01/26 by Guillaume Garrigos, Robert M. Gower, Garrigos, Guillaume +1 · 2 voices · 60 citations
Computer Science · Engineering · Mathematics · #Applied mathematics #Computer science #Convergence (economics) #Convex function #Economics #Focus (optics) #Geometry #Gradient descent #Lipschitz continuity #Mathematical analysis #Mathematical optimization #Mathematical proof #Mathematics #Momentum (technical analysis) #Physics #Proximal Gradient Methods #Regular polygon #Simple (philosophy) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques #Stochastic gradient descent #Subgradient method #math.OC