Pages that link to "Item:Q2821630"
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The following pages link to Stochastic approximations and perturbations in forward-backward splitting for monotone operators (Q2821630):
Displaying 22 items.
- Almost sure convergence of the forward-backward-forward splitting algorithm (Q276331) (← links)
- Stochastic forward-backward splitting for monotone inclusions (Q289110) (← links)
- 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)
- Convergence analysis of the stochastic reflected forward-backward splitting algorithm (Q2091216) (← links)
- SABRINA: a stochastic subspace majorization-minimization algorithm (Q2095568) (← links)
- On the linear convergence of the stochastic gradient method with constant step-size (Q2311205) (← links)
- Blended coarse gradient descent for full quantization of deep neural networks (Q2319868) (← links)
- Stochastic proximal-gradient algorithms for penalized mixed models (Q2329762) (← links)
- A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression (Q2419533) (← links)
- Variance reduction for root-finding problems (Q2689823) (← links)
- On the computation of equilibria in monotone and potential stochastic hierarchical games (Q2693642) (← links)
- Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization (Q4558525) (← links)
- String-averaging incremental stochastic subgradient algorithms (Q4631774) (← links)
- (Q4967840) (← links)
- BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights (Q5230408) (← links)
- Asymptotic behavior of a dynamical system on a metric space (Q5244133) (← links)
- Two stochastic optimization algorithms for convex optimization with fixed point constraints (Q5379458) (← links)
- A stochastic variance reduction algorithm with Bregman distances for structured composite problems (Q6106321) (← links)
- Stochastic Fixed-Point Iterations for Nonexpansive Maps: Convergence and Error Bounds (Q6180255) (← links)