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nesterov acceleration

54 papers

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Also known as

NESTEROV

Co-occurring keywords

convex optimization (1321) gradient descent (1144) convergence rate (607) stochastic gradient descent (1091) accelerated gradient method (29) accelerated gradient (62) stochastic optimization (1060) non-convex optimization (547) momentum method (75) first-order method (89)

Papers

Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025
Nesterov acceleration despite very noisy gradients NIPS 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NIPS 2024
Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024
Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NIPS 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Fast margin maximization via dual acceleration ICML 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NIPS 2021
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems NIPS 2021
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NIPS 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021
Accelerating Gradient Boosting Machines AISTATS 2020
Nesterov's Acceleration for Approximate Newton JMLR 2020
Learning Data-adaptive Non-parametric Kernels JMLR 2020
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020