On the analysis of variance-reduced and randomized projection variants of single projection schemes for monotone stochastic variational inequality problems
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Publication:2045192
DOI10.1007/s11228-021-00572-6zbMath1473.90097arXiv1904.11076OpenAlexW3156816032MaRDI QIDQ2045192
Shisheng Cui, Uday V. Shanbhag
Publication date: 12 August 2021
Published in: Set-Valued and Variational Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1904.11076
Convex programming (90C25) Stochastic programming (90C15) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)
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Cites Work
- Unnamed Item
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- The subgradient extragradient method for solving variational inequalities in Hilbert space
- Random algorithms for convex minimization problems
- Incremental proximal methods for large scale convex optimization
- Equilibrium models and variational inequalities.
- Accelerated schemes for a class of variational inequalities
- On the existence of solutions to stochastic quasi-variational inequality and complementarity problems
- On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems
- On stochastic mirror-prox algorithms for stochastic Cartesian variational inequalities: randomized block coordinate and optimal averaging schemes
- Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants
- Incremental constraint projection methods for variational inequalities
- On the convergence properties of non-Euclidean extragradient methods for variational inequalities with generalized monotone operators
- Stochastic First-Order Methods with Random Constraint Projection
- Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis
- Stochastic Variational Inequalities: Residual Minimization Smoothing Sample Average Approximations
- Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games
- Introduction to Stochastic Programming
- SAMPLE AVERAGE APPROXIMATION METHODS FOR A CLASS OF STOCHASTIC VARIATIONAL INEQUALITY PROBLEMS
- Robust Stochastic Approximation Approach to Stochastic Programming
- Variational Analysis
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques
- Stochastic Approximation Approaches to the Stochastic Variational Inequality Problem
- Convergence Rate of $\mathcal{O}(1/k)$ for Optimistic Gradient and Extragradient Methods in Smooth Convex-Concave Saddle Point Problems
- Solving variational inequalities with Stochastic Mirror-Prox algorithm
- Incremental Constraint Projection Methods for Monotone Stochastic Variational Inequalities
- Projected Reflected Gradient Methods for Monotone Variational Inequalities
- Corrections to “A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters”
- Temporal Difference Methods for General Projected Equations
- Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems
- Extragradient Method with Variance Reduction for Stochastic Variational Inequalities
- A Stochastic Approximation Method
- Convex analysis and monotone operator theory in Hilbert spaces
- Generalized Nash equilibrium problems
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