last-iterate convergence

Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic ALT 2026 Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size COLT 2026 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games ICLR 2025 Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games ICLR 2025 Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity ICML 2025 Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization ICML 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Last Iterate Convergence of Incremental Methods as a Model of Forgetting ICLR 2025 Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025 Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games ICLR 2025 Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback ICML 2025 Decentralized Online Learning in General-Sum Stackelberg Games UAI 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024 Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NeurIPS 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024 On the Last-Iterate Convergence of Shuffling Gradient Methods ICML 2024 Truly No-Regret Learning in Constrained MDPs ICML 2024 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023 Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games ICLR 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023 On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration ICLR 2023