adaptive step size

Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes JMLR 2026 Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions AISTATS 2025 COExpander: Adaptive Solution Expansion for Combinatorial Optimization ICML 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Proximal Sampler with Adaptive Step Size AISTATS 2025 Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance ICLR 2025 Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis ICLR 2025 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Federated Learning with Auto-Tuned Clients ICLR 2024 Double Momentum Method for Lower-Level Constrained Bilevel Optimization ICML 2024 Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes ICML 2024 On the Convergence of Loss and Uncertainty-based Active Learning Algorithms NeurIPS 2024 Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023 Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD COLT 2023 BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NeurIPS 2023 Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023 TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization ICLR 2023 Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022