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An Attention-Based Algorithm for Gravity Adaptation Zone Calibration

An Attention-Based Algorithm for Gravity Adaptation Zone Calibration

6 October 2024
Chen Yu
ArXiv (abs)PDFHTMLGithub

Papers citing "An Attention-Based Algorithm for Gravity Adaptation Zone Calibration"

13 / 13 papers shown
Title
Closing the Gap Between the Upper Bound and the Lower Bound of Adam's
  Iteration Complexity
Closing the Gap Between the Upper Bound and the Lower Bound of Adam's Iteration Complexity
Bohan Wang
Jingwen Fu
Huishuai Zhang
Nanning Zheng
Wei Chen
70
19
0
27 Oct 2023
Adam-family Methods with Decoupled Weight Decay in Deep Learning
Adam-family Methods with Decoupled Weight Decay in Deep Learning
Kuang-Yu Ding
Nachuan Xiao
Kim-Chuan Toh
64
3
0
13 Oct 2023
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters
  and Non-ergodic Case
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case
Meixuan He
Yuqing Liang
Jinlan Liu
Dongpo Xu
79
9
0
20 Jul 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
82
58
0
29 May 2023
Adam-family Methods for Nonsmooth Optimization with Convergence
  Guarantees
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
Nachuan Xiao
Xiaoyin Hu
Xin Liu
Kim-Chuan Toh
46
19
0
06 May 2023
Convergence of Adam Under Relaxed Assumptions
Convergence of Adam Under Relaxed Assumptions
Haochuan Li
Alexander Rakhlin
Ali Jadbabaie
99
66
0
27 Apr 2023
Provable Adaptivity of Adam under Non-uniform Smoothness
Provable Adaptivity of Adam under Non-uniform Smoothness
Bohan Wang
Yushun Zhang
Huishuai Zhang
Qi Meng
Ruoyu Sun
Zhirui Ma
Tie-Yan Liu
Zhimin Luo
Wei Chen
77
26
0
21 Aug 2022
Adam Can Converge Without Any Modification On Update Rules
Adam Can Converge Without Any Modification On Update Rules
Yushun Zhang
Congliang Chen
Naichen Shi
Ruoyu Sun
Zhimin Luo
95
70
0
20 Aug 2022
Better Theory for SGD in the Nonconvex World
Better Theory for SGD in the Nonconvex World
Ahmed Khaled
Peter Richtárik
105
187
0
09 Feb 2020
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
141
2,506
0
19 Apr 2019
A Sufficient Condition for Convergences of Adam and RMSProp
A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou
Li Shen
Zequn Jie
Weizhong Zhang
Wei Liu
75
373
0
23 Nov 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam M. Nguyen
Phuong Ha Nguyen
Marten van Dijk
Peter Richtárik
K. Scheinberg
Martin Takáč
104
228
0
11 Feb 2018
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
285
3,228
0
15 Jun 2016
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