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On the Adaptivity of Stochastic Gradient-Based Optimization

On the Adaptivity of Stochastic Gradient-Based Optimization

9 April 2019
Lihua Lei
Michael I. Jordan
    ODL
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Papers citing "On the Adaptivity of Stochastic Gradient-Based Optimization"

6 / 6 papers shown
Title
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex
  Finite Sum Problems
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems
Yanjie Zhong
Jiaqi Li
Soumendra Lahiri
34
1
0
29 Jan 2024
Large deviations rates for stochastic gradient descent with strongly
  convex functions
Large deviations rates for stochastic gradient descent with strongly convex functions
Dragana Bajović
D. Jakovetić
S. Kar
33
5
0
02 Nov 2022
Nonlinear gradient mappings and stochastic optimization: A general
  framework with applications to heavy-tail noise
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise
D. Jakovetić
Dragana Bajović
Anit Kumar Sahu
S. Kar
Nemanja Milošević
Dusan Stamenkovic
19
12
0
06 Apr 2022
Enhanced Bilevel Optimization via Bregman Distance
Enhanced Bilevel Optimization via Bregman Distance
Feihu Huang
Junyi Li
Shangqian Gao
Heng-Chiao Huang
32
33
0
26 Jul 2021
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization
Samuel Horváth
Lihua Lei
Peter Richtárik
Michael I. Jordan
57
30
0
13 Feb 2020
History-Gradient Aided Batch Size Adaptation for Variance Reduced
  Algorithms
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
Kaiyi Ji
Zhe Wang
Bowen Weng
Yi Zhou
Wei Zhang
Yingbin Liang
ODL
18
5
0
21 Oct 2019
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