On the Analysis of Variance-reduced and Randomized Projection Variants of Single Projection Schemes for Monotone Stochastic Variational Inequality Problems

Keyphrases

• Monotone 100%
• Random Projection 100%
• Stochastic Variational Inequality Problem 100%
• Projection Scheme 100%
• Iteration Complexity 100%
• Single Projection 100%
• Feasibility Set 66%
• Almost Sure Convergence 66%
• Gap Function 66%
• Weak Sharpness 66%
• Half-space 33%
• Map-based 33%
• Convex Constraints 33%
• Computable 33%
• Convex Set 33%
• Numerics 33%
• Optimal Rate 33%
• Batch Size 33%
• Asymptotic Rates 33%
• Solution Set 33%
• Monotone Variational Inequality 33%
• Variational Inequality Problem 33%
• Non-asymptotic 33%
• Rate Guarantees 33%
• Sample Average 33%
• Projected Reflected Gradient Method 33%

Mathematics

• Stochastics 100%
• Analysis of Variance 100%
• Variational Inequality Problem 100%
• Almost Sure Convergence 50%
• Extragradient 50%
• Closed Form 25%
• Variance 25%
• Asymptotics 25%
• Convex Set 25%
• Batch Size 25%
• Solution Set 25%
• Subgradient 25%
• Numerics 25%
• Sample Average 25%
• Random Point 25%
• Extragradient Method 25%