accelerated gradient descent

An accelerated proximal bundle method for convex optimization L4DC 2026 Near-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches ALT 2025 Nesterov acceleration in benignly non-convex landscapes ICLR 2025 Robustness of Quantum Algorithms for Nonconvex Optimization ICLR 2025 GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent NeurIPS 2024 2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NeurIPS 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023 On Accelerated Perceptrons and Beyond ICLR 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity JMLR 2023 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022 Accelerated SGD for Non-Strongly-Convex Least Squares COLT 2022 Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization NeurIPS 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022 Algorithmic Instabilities of Accelerated Gradient Descent NeurIPS 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020 IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method NeurIPS 2020