monotone operator

A Primal-Dual Approach to Solving Variational Inequalities with General Constraints ICLR 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024 Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023 Implicit Graph Neural Networks: A Monotone Operator Viewpoint ICML 2023 Solving Constrained Variational Inequalities via a First-order Interior Point-based Method ICLR 2023 Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022 A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022 Invertible Monotone Operators for Normalizing Flows NeurIPS 2022 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities NeurIPS 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Sifting through the noise: Universal first-order methods for stochastic variational inequalities NeurIPS 2021 Monotone operator equilibrium networks NeurIPS 2020 An adaptive Mirror-Prox method for variational inequalities with singular operators NeurIPS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 On the convergence of single-call stochastic extra-gradient methods NeurIPS 2019 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018 Stochastic Variance Reduction Methods for Saddle-Point Problems NeurIPS 2016