accelerated gradient method

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026 An Optimal Algorithm for Strongly Convex Min-Min Optimization UAI 2025 Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods ICLR 2025 Quantum Optimization via Gradient-Based Hamiltonian Descent ICML 2025 Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024 Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NeurIPS 2023 Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales COLT 2022 Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems ICML 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NeurIPS 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022 Understanding Riemannian Acceleration via a Proximal Extragradient Framework COLT 2022 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case AISTATS 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 On the Curved Geometry of Accelerated Optimization NeurIPS 2019 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018