nesterov acceleration

Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025 Nesterov acceleration in benignly non-convex landscapes ICLR 2025 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training JMLR 2024 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023 Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NeurIPS 2023 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms ICLR 2023 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022 Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022 Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022 On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022 Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent ICML 2022 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021 Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems NeurIPS 2021 Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NeurIPS 2021 Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NeurIPS 2021 Fast margin maximization via dual acceleration ICML 2021 On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021 Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization AISTATS 2020