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2010.02519
Cited By
Improved Analysis of Clipping Algorithms for Non-convex Optimization
5 October 2020
Bohang Zhang
Jikai Jin
Cong Fang
Liwei Wang
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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
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
Binchuan Qi
Wei Gong
Li Li
61
0
0
08 Oct 2024
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
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
Qi Zhang
Yi Zhou
Shaofeng Zou
27
3
0
01 Apr 2024
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
Yusu Hong
Junhong Lin
40
10
0
06 Feb 2024
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
Jie Hao
Xiaochuan Gong
Mingrui Liu
25
7
0
17 Jan 2024
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
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
Boyue Li
Yuejie Chi
21
12
0
17 May 2023
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
Michael R. Metel
25
1
0
09 Nov 2022
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
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
Vien V. Mai
M. Johansson
16
38
0
12 Feb 2021
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
76
129
0
16 Oct 2018
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