Pages that link to "Item:Q2032020"

The following pages link to General convergence analysis of stochastic first-order methods for composite optimization (Q2032020):

Displaying 11 items.

• The value function approach to convergence analysis in composite optimization (Q1709968) (← links)
• A unified convergence analysis of stochastic Bregman proximal gradient and extragradient methods (Q2031928) (← links)
• Sub-linear convergence of a stochastic proximal iteration method in Hilbert space (Q2162529) (← links)
• On the linear convergence of the stochastic gradient method with constant step-size (Q2311205) (← links)
• Stochastic first-order methods with random constraint projection (Q2796796) (← links)
• Iterative decomposition of stochastic optimization problems with first-order partial differential equations (Q3324533) (← links)
• Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming (Q5408223) (← links)
• Unified analysis of stochastic gradient methods for composite convex and smooth optimization (Q6086133) (← links)
• Mini-batch stochastic subgradient for functional constrained optimization (Q6565290) (← links)
• Convergence analysis of stochastic higher-order majorization–minimization algorithms (Q6586916) (← links)
• A stochastic moving ball approximation method for smooth convex constrained minimization (Q6642788) (← links)