variational inequality

Defensive Generation COLT 2026 Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026 Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions AISTATS 2025 Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games AAAI 2025 Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs ICLR 2025 Inverse Game Theory: An Incenter-Based Approach IJCAI 2025 Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025 When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities UAI 2025 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations NeurIPS 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024 Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes ICML 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ICLR 2024 A Fast Optimistic Method for Monotone Variational Inequalities 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 Byzantine-Tolerant Methods for Distributed Variational Inequalities NeurIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Distributed Extra-gradient with Optimal Complexity and Communication Guarantees ICLR 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023