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variational inequality

48 papers

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SVI VI VIP

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) monotone operator (18) convex optimization (1320) extragradient method (17) min-max optimization (79) game theory (852) convergence analysis (394) saddle-point problems (19) generative adversarial network (1939)

Papers

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026
Inverse Game Theory: An Incenter-Based Approach IJCAI 2025
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games AAAI 2025
VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations NIPS 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NIPS 2024
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NIPS 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023
Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NIPS 2023
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NIPS 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NIPS 2023
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Stochastic Variance Reduction for Variational Inequality Methods COLT 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NIPS 2022
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees NIPS 2022