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Improved Analysis of Clipping Algorithms for Non-convex Optimization

Improved Analysis of Clipping Algorithms for Non-convex Optimization

5 October 2020
Bohang Zhang
Jikai Jin
Cong Fang
Liwei Wang
ArXivPDFHTML

Papers citing "Improved Analysis of Clipping Algorithms for Non-convex Optimization"

18 / 18 papers shown
Title
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
Hao Liang
W. Zhang
Xinlei He
Kaishun He
Hong Xing
47
0
0
25 Feb 2025
Extended convexity and smoothness and their applications in deep learning
Extended convexity and smoothness and their applications in deep learning
Binchuan Qi
Wei Gong
Li Li
61
0
0
08 Oct 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
38
2
0
28 Sep 2024
Recent Advances in Non-convex Smoothness Conditions and Applicability to
  Deep Linear Neural Networks
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks
Vivak Patel
Christian Varner
26
0
0
20 Sep 2024
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance
Qi Zhang
Yi Zhou
Shaofeng Zou
27
3
0
01 Apr 2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin
Ahmed Khaled
Yuanhao Wang
Aaron Defazio
Robert Mansel Gower
36
6
0
06 Mar 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Yusu Hong
Junhong Lin
40
10
0
06 Feb 2024
Regularized Q-Learning with Linear Function Approximation
Regularized Q-Learning with Linear Function Approximation
Jiachen Xi
Alfredo Garcia
P. Momcilovic
27
2
0
26 Jan 2024
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and
  Convergence Analysis
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Jie Hao
Xiaochuan Gong
Mingrui Liu
25
7
0
17 Jan 2024
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient
  Clipping
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan
Jiachen Lu
Xiatian Zhu
Li Zhang
DiffM
28
11
0
19 Oct 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and
  Relaxed Assumptions
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions
Bo Wang
Huishuai Zhang
Zhirui Ma
Wei Chen
32
48
0
29 May 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with
  Gradient Clipping and Communication Compression
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Boyue Li
Yuejie Chi
21
12
0
17 May 2023
U-Clip: On-Average Unbiased Stochastic Gradient Clipping
U-Clip: On-Average Unbiased Stochastic Gradient Clipping
Bryn Elesedy
Marcus Hutter
11
1
0
06 Feb 2023
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision
  Environments
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments
Michael R. Metel
25
1
0
09 Nov 2022
RBGNet: Ray-based Grouping for 3D Object Detection
RBGNet: Ray-based Grouping for 3D Object Detection
Haiyang Wang
Shaoshuai Shi
Ze Yang
Rongyao Fang
Qishu Qian
Hongsheng Li
Bernt Schiele
Liwei Wang
3DPC
32
58
0
05 Apr 2022
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin
Samir Bhatt
Haiyang Wang
Liwei Wang
25
46
0
24 Oct 2021
Stability and Convergence of Stochastic Gradient Clipping: Beyond
  Lipschitz Continuity and Smoothness
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien V. Mai
M. Johansson
16
38
0
12 Feb 2021
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
76
129
0
16 Oct 2018
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