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Algorithmic Instabilities of Accelerated Gradient Descent
v1v2 (latest)

Algorithmic Instabilities of Accelerated Gradient Descent

Neural Information Processing Systems (NeurIPS), 2021
3 February 2021
Amit Attia
Tomer Koren
ArXiv (abs)PDFHTML

Papers citing "Algorithmic Instabilities of Accelerated Gradient Descent"

6 / 6 papers shown
Dynamically Weighted Momentum with Adaptive Step Sizes for Efficient Deep Network Training
Dynamically Weighted Momentum with Adaptive Step Sizes for Efficient Deep Network Training
Zhifeng Wang
Longlong Li
Chunyan Zeng
108
0
0
29 Oct 2025
Optimal Guarantees for Algorithmic Reproducibility and Gradient
  Complexity in Convex Optimization
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex OptimizationNeural Information Processing Systems (NeurIPS), 2023
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
372
3
0
26 Oct 2023
Uniform Stability for First-Order Empirical Risk Minimization
Uniform Stability for First-Order Empirical Risk MinimizationAnnual Conference Computational Learning Theory (COLT), 2022
Amit Attia
Tomer Koren
160
8
0
17 Jul 2022
Stability vs Implicit Bias of Gradient Methods on Separable Data and
  Beyond
Stability vs Implicit Bias of Gradient Methods on Separable Data and BeyondAnnual Conference Computational Learning Theory (COLT), 2022
Matan Schliserman
Tomer Koren
199
29
0
27 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits
Reproducibility in Optimization: Theoretical Framework and LimitsNeural Information Processing Systems (NeurIPS), 2022
Kwangjun Ahn
Prateek Jain
Ziwei Ji
Satyen Kale
Praneeth Netrapalli
G. Shamir
271
27
0
09 Feb 2022
Generalization in Supervised Learning Through Riemannian Contraction
Generalization in Supervised Learning Through Riemannian Contraction
L. Kozachkov
Patrick M. Wensing
Jean-Jacques E. Slotine
MLT
263
10
0
17 Jan 2022
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