{"total":21,"rows":[{"id":"2504.09951","title":"Towards Weaker Variance Assumptions for Stochastic Optimization","created":"2025-04-14","cited_by_count":17,"area":null},{"id":"2302.14043","title":"Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions","created":"2023-02-27","cited_by_count":14,"area":null},{"id":"2310.02987","title":"Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions","created":"2023-10-04","cited_by_count":11,"area":null},{"id":"2303.17192","title":"Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments","created":"2023-03-30","cited_by_count":5,"area":null},{"id":"2602.05531","title":"Solving Stochastic Variational Inequalities without the Bounded Variance Assumption","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2306.05100","title":"Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates","created":"2023-06-08","cited_by_count":4,"area":null},{"id":"2402.05071","title":"Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity","created":"2024-02-07","cited_by_count":4,"area":null},{"id":"2310.13459","title":"Stable Nonconvex-Nonconcave Training via Linear Interpolation","created":"2023-10-20","cited_by_count":3,"area":null},{"id":"2403.12859","title":"Primal Methods for Variational Inequality Problems with Functional Constraints","created":"2024-03-19","cited_by_count":3,"area":null},{"id":"2406.02413","title":"Variance-Reduced Fast Krasnoselkii-Mann Methods for Finite-Sum Root-Finding Problems","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2603.15576","title":"Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Composite Inclusions","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2306.16617","title":"Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation","created":"2023-06-29","cited_by_count":2,"area":null},{"id":"2312.12067","title":"Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property","created":"2023-12-19","cited_by_count":2,"area":null},{"id":"2401.14585","title":"Diffusion Stochastic Optimization for Min-Max Problems","created":"2024-01-26","cited_by_count":2,"area":null},{"id":"2409.16859","title":"Revisiting Extragradient-Type Methods -- Part 1: Generalizations and Sublinear Convergence Rates","created":"2024-09-25","cited_by_count":2,"area":null},{"id":"2609.08380","title":"How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond","created":"2026-09-08","cited_by_count":2,"area":null},{"id":"2312.06540","title":"Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2603.22155","title":"RAMPAGE: RAndomized Mid-Point for debiAsed Gradient Extrapolation","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2311.04600","title":"A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands","created":"2023-11-08","cited_by_count":0,"area":null},{"id":"2601.23034","title":"Breaking the Stochasticity Barrier: An Adaptive Variance-Reduced Method for Variational Inequalities","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2609.15257","title":"Improving the Last-Iterate Guarantees of Anytime Algorithms for Stochastic Monotone Variational Inequalities","created":"2026-09-14","cited_by_count":0,"area":null}],"next_cursor":null}