% Key papers for Extragradient for variational inequalities (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2021_linear_30489, title = {{Linear Last-iterate Convergence in Constrained Saddle-point Optimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3218}, } @inproceedings{neurips2019_on_58740, title = {{On the convergence of single-call stochastic extra-gradient methods}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13795}, } @inproceedings{iclr2021_on_30237, title = {{On the Impossibility of Global Convergence in Multi-Loss Optimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2794}, } @inproceedings{icml2021_the_40021, title = {{The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/8633}, } @inproceedings{neurips2022_optimal_66001, title = {{Optimal Algorithms for Decentralized Stochastic Variational Inequalities}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/55123}, } @inproceedings{iclr2021_adaptive_30307, title = {{Adaptive Extra-Gradient Methods for Min-Max Optimization and Games}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2773}, } @inproceedings{aaai2021_increasing_776, title = {{Increasing Iterate Averaging for Solving Saddle-Point Problems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/07537-increasing-iterate-averaging-for-solving-saddle-point-problems/}, } @inproceedings{iclr2022_escaping_30827, title = {{Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6528}, } @inproceedings{iclr2023_accelerated_32334, title = {{Accelerated Single-Call Methods for Constrained Min-Max Optimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11037}, } @inproceedings{neurips2022_last_66457, title = {{Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53493}, } @inproceedings{neurips2022_first_66500, title = {{First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54551}, } @inproceedings{icml2023_nesterov_41551, title = {{Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/25198}, } @inproceedings{neurips2022_tight_64565, title = {{Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/52933}, } @inproceedings{iclr2023_solving_32927, title = {{Solving stochastic weak Minty variational inequalities without increasing batch size}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/10692}, } @inproceedings{iclr2024_two_33675, title = {{Two-timescale Extragradient for Finding Local Minimax Points}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19400}, } @inproceedings{neurips2023_stability_69591, title = {{Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70340}, } @inproceedings{iclr2024_symmetric_34648, title = {{Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18426}, } @inproceedings{icml2022_a_40145, title = {{A Convergent and Dimension-Independent Min-Max Optimization Algorithm}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/18203}, } @inproceedings{icml2023_a_41495, title = {{A Fast Optimistic Method for Monotone Variational Inequalities}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/24883}, } @inproceedings{icml2023_convergence_42634, title = {{Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/24170}, } @inproceedings{icml2024_accelerated_43864, title = {{Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34588}, } @inproceedings{icml2024_revisiting_45242, title = {{Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33210}, } @inproceedings{icml2026_accelerated_50829, title = {{Accelerated and Stable Convergence with Anchored Generalized Optimistic Method}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=G6WKIN1heG}, } @inproceedings{icml2026_solving_53118, title = {{Solving Stochastic Variational Inequalities without the Bounded Variance Assumption}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=cHxls6cHDF}, } @inproceedings{icml2026_asymmetric_53490, title = {{Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=fyae4jQ9Lw}, } @inproceedings{neurips2024_stochastic_71927, title = {{Stochastic Extragradient with Flip-Flop Shuffling \& Anchoring: Provable Improvements}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95378}, } @inproceedings{neurips2025_fast_78061, title = {{Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=aixLLnS70r}, } @inproceedings{neurips2025_non_79741, title = {{Non-convex entropic mean-field optimization via Best Response flow}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=sYVKHgZz2h}, } @inproceedings{neurips2026_mirror_90053, title = {{Mirror Descent-Ascent for mean-field min-max problems}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/148349}, } @inproceedings{icml2024_double_45333, title = {{Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33119}, } @inproceedings{icml2026_from_52281, title = {{From Lyapunov Analysis to Algorithm Design in two-sided PL Minimax Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=UIyXPhhxlf}, } @inproceedings{icml2026_last_53353, title = {{Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=eirv1OEo7F}, }