Pages that link to "Item:Q2828340"

The following pages link to Ergodic convergence of a stochastic proximal point algorithm (Q2828340):

Displaying 26 items.

• Dynamical behavior of a stochastic forward-backward algorithm using random monotone operators (Q727220) (← links)
• A fully stochastic primal-dual algorithm (Q828693) (← links)
• Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping. II: Mean-square and linear convergence (Q1739044) (← links)
• Convergence of stochastic proximal gradient algorithm (Q2019902) (← links)
• Stochastic proximal splitting algorithm for composite minimization (Q2047212) (← links)
• SRKCD: a stabilized Runge-Kutta method for stochastic optimization (Q2088772) (← links)
• Sub-linear convergence of a stochastic proximal iteration method in Hilbert space (Q2162529) (← links)
• Asymptotic equivalence of evolution equations governed by cocoercive operators and their forward discretizations (Q2315255) (← links)
• Subgradient averaging for multi-agent optimisation with different constraint sets (Q2665377) (← links)
• On the computation of equilibria in monotone and potential stochastic hierarchical games (Q2693642) (← links)
• Ergodic convergence in subgradient optimization with application to simplical decomposition of convex programs (Q2906488) (← links)
• Ergodic convergence in subgradient optimization (Q4391290) (← links)
• Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization (Q4558525) (← links)
• Stochastic Estimation of the Frobenius Norm in the ACA Convergence Criterion (Q4586718) (← links)
• Stochastic Model-Based Minimization of Weakly Convex Functions (Q4620418) (← links)
• (Q4967840) (← links)
• Constant step stochastic approximations involving differential inclusions: stability, long-run convergence and applications (Q5086426) (← links)
• Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space (Q5093647) (← links)
• New nonasymptotic convergence rates of stochastic proximal point algorithm for stochastic convex optimization (Q5162590) (← links)
• On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods (Q5210513) (← links)
• Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity (Q5233106) (← links)
• A strong law of large numbers for random monotone operators (Q6084858) (← links)
• Stochastic regularized Newton methods for nonlinear equations (Q6158978) (← links)
• Bellman filtering and smoothing for state-space models (Q6193073) (← links)
• Variance reduction techniques for stochastic proximal point algorithms (Q6644264) (← links)
• The stochastic proximal distance algorithm (Q6657820) (← links)