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On the Last Iterate Convergence of Momentum Methods
v1v2v3 (latest)

On the Last Iterate Convergence of Momentum Methods

International Conference on Algorithmic Learning Theory (ALT), 2021
13 February 2021
Xiaoyun Li
Mingrui Liu
Francesco Orabona
ArXiv (abs)PDFHTML

Papers citing "On the Last Iterate Convergence of Momentum Methods"

7 / 7 papers shown
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization
A stochastic first-order method with multi-extrapolated momentum for highly smooth unconstrained optimization
Chuan He
451
0
0
19 Dec 2024
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
On the Performance Analysis of Momentum Method: A Frequency Domain PerspectiveInternational Conference on Learning Representations (ICLR), 2024
Xianliang Li
Jun Luo
Zhiwei Zheng
Hanxiao Wang
Li Luo
Lingkun Wen
Linlong Wu
Sheng Xu
523
4
0
29 Nov 2024
Non-Convex Stochastic Composite Optimization with Polyak Momentum
Non-Convex Stochastic Composite Optimization with Polyak Momentum
Yuan Gao
Anton Rodomanov
Sebastian U. Stich
281
13
0
05 Mar 2024
Accelerated Convergence of Stochastic Heavy Ball Method under
  Anisotropic Gradient Noise
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Boyao Wang
Yuxing Liu
Xiaoyu Wang
Tong Zhang
218
7
0
22 Dec 2023
The Marginal Value of Momentum for Small Learning Rate SGD
The Marginal Value of Momentum for Small Learning Rate SGDInternational Conference on Learning Representations (ICLR), 2023
Runzhe Wang
Sadhika Malladi
Tianhao Wang
Kaifeng Lyu
Zhiyuan Li
ODL
229
10
0
27 Jul 2023
Acceleration of stochastic gradient descent with momentum by averaging:
  finite-sample rates and asymptotic normality
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
Kejie Tang
Weidong Liu
Yichen Zhang
Xi Chen
188
3
0
28 May 2023
Momentum Provably Improves Error Feedback!
Momentum Provably Improves Error Feedback!Neural Information Processing Systems (NeurIPS), 2023
Ilyas Fatkhullin
Alexander Tyurin
Peter Richtárik
297
38
0
24 May 2023
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