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Tackling benign nonconvexity with smoothing and stochastic gradients

Tackling benign nonconvexity with smoothing and stochastic gradients

18 February 2022
Harsh Vardhan
Sebastian U. Stich
ArXiv (abs)PDFHTML

Papers citing "Tackling benign nonconvexity with smoothing and stochastic gradients"

3 / 3 papers shown
Title
Gradient Descent with Linearly Correlated Noise: Theory and Applications
  to Differential Privacy
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential PrivacyNeural Information Processing Systems (NeurIPS), 2023
Anastasia Koloskova
Ryan McKenna
Zachary B. Charles
Keith Rush
Brendan McMahan
497
14
0
02 Feb 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for
  Distributed Optimization with Bidirectional Compression
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional CompressionInternational Conference on Machine Learning (ICML), 2022
Kaja Gruntkowska
Alexander Tyurin
Peter Richtárik
350
32
0
30 Sep 2022
Special Properties of Gradient Descent with Large Learning Rates
Special Properties of Gradient Descent with Large Learning RatesInternational Conference on Machine Learning (ICML), 2022
Amirkeivan Mohtashami
Martin Jaggi
Sebastian U. Stich
MLT
351
15
0
30 May 2022
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