random reshuffling

Random Reshuffling Dominates Stochastic Gradient Descent COLT 2026 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression ALT 2025 Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization ICLR 2025 Demystifying SGD with Doubly Stochastic Gradients ICML 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Random Reshuffling with Variance Reduction: New Analysis and Better Rates UAI 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 A General Analysis of Example-Selection for Stochastic Gradient Descent ICLR 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022 Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond ICLR 2022 Proximal and Federated Random Reshuffling ICML 2022 Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization NeurIPS 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 How Good is SGD with Random Shuffling? COLT 2020 Random Reshuffling is Not Always Better NeurIPS 2020 Random Reshuffling: Simple Analysis with Vast Improvements NeurIPS 2020 Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020