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Stochastic Heavy Ball

Stochastic Heavy Ball

14 September 2016
S. Gadat
Fabien Panloup
Sofiane Saadane
ArXivPDFHTML

Papers citing "Stochastic Heavy Ball"

17 / 17 papers shown
Title
Almost sure convergence rates of stochastic gradient methods under gradient domination
Almost sure convergence rates of stochastic gradient methods under gradient domination
Simon Weissmann
Sara Klein
Waïss Azizian
Leif Döring
39
3
0
22 May 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with
  Markovian Noise: Theory and Applications
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
Jie Hu
Vishwaraj Doshi
Do Young Eun
36
4
0
17 Jan 2024
Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning
  Problems
Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning Problems
Shigeng Sun
Yuchen Xie
18
3
0
17 May 2023
Stability and Convergence of Distributed Stochastic Approximations with
  large Unbounded Stochastic Information Delays
Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays
Adrian Redder
Arunselvan Ramaswamy
Holger Karl
20
1
0
11 May 2023
On the fast convergence of minibatch heavy ball momentum
On the fast convergence of minibatch heavy ball momentum
Raghu Bollapragada
Tyler Chen
Rachel A. Ward
26
17
0
15 Jun 2022
On Almost Sure Convergence Rates of Stochastic Gradient Methods
On Almost Sure Convergence Rates of Stochastic Gradient Methods
Jun Liu
Ye Yuan
21
36
0
09 Feb 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
Xiang Li
Wenhao Yang
Jiadong Liang
Zhihua Zhang
Michael I. Jordan
40
15
0
29 Dec 2021
Gradient Temporal Difference with Momentum: Stability and Convergence
Gradient Temporal Difference with Momentum: Stability and Convergence
Rohan Deb
S. Bhatnagar
16
5
0
22 Nov 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
17
1
0
07 Oct 2021
A Dynamical View on Optimization Algorithms of Overparameterized Neural
  Networks
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu
Shiyun Xu
Kan Chen
25
17
0
25 Oct 2020
A High Probability Analysis of Adaptive SGD with Momentum
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyun Li
Francesco Orabona
92
65
0
28 Jul 2020
Understanding the Role of Momentum in Stochastic Gradient Methods
Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman
Hunter Lang
Pengchuan Zhang
Lin Xiao
25
94
0
30 Oct 2019
Continuous Time Analysis of Momentum Methods
Continuous Time Analysis of Momentum Methods
Nikola B. Kovachki
Andrew M. Stuart
17
32
0
10 Jun 2019
Optimal Matrix Momentum Stochastic Approximation and Applications to
  Q-learning
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning
Adithya M. Devraj
Ana Bušić
Sean P. Meyn
14
4
0
17 Sep 2018
On the Generalization of Stochastic Gradient Descent with Momentum
On the Generalization of Stochastic Gradient Descent with Momentum
Ali Ramezani-Kebrya
Kimon Antonakopoulos
V. Cevher
Ashish Khisti
Ben Liang
MLT
14
23
0
12 Sep 2018
Momentum and Stochastic Momentum for Stochastic Gradient, Newton,
  Proximal Point and Subspace Descent Methods
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou
Peter Richtárik
19
199
0
27 Dec 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,154
0
04 Mar 2015
1