conftrace_

monotone operator

18 papers

Explore in graph

Co-occurring keywords

variational inequality (48) stochastic optimization (1060) convergence rate (607) convex optimization (1321) last-iterate convergence (20) graph neural network (3962) convex-concave game (7) extragradient method (17) adaptive algorithm (114) saddle-point problems (19)

Papers

Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NIPS 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
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022
Invertible Monotone Operators for Normalizing Flows NIPS 2022
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities NIPS 2022
Sifting through the noise: Universal first-order methods for stochastic variational inequalities NIPS 2021
Monotone operator equilibrium networks NIPS 2020
An adaptive Mirror-Prox method for variational inequalities with singular operators NIPS 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018
Stochastic Variance Reduction Methods for Saddle-Point Problems NIPS 2016