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A Study of Condition Numbers for First-Order Optimization
v1v2 (latest)

A Study of Condition Numbers for First-Order Optimization

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
10 December 2020
Charles Guille-Escuret
Baptiste Goujaud
M. Girotti
Alexia Jolicoeur-Martineau
ArXiv (abs)PDFHTML

Papers citing "A Study of Condition Numbers for First-Order Optimization"

6 / 6 papers shown
Model Immunization from a Condition Number Perspective
Model Immunization from a Condition Number Perspective
Amber Yijia Zheng
Cedar Site Bai
Brian Bullins
Raymond A. Yeh
MedIm
183
7
0
29 May 2025
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
Francesco Orabona
Ryan DÓrazio
425
6
0
26 May 2025
Understanding Adam Requires Better Rotation Dependent Assumptions
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue H. Zhang
Lucas Maes
Alexia Jolicoeur-Martineau
Alexia Jolicoeur-Martineau
Damien Scieur
Damien Scieur
Simon Lacoste-Julien
Charles Guille-Escuret
345
9
0
25 Oct 2024
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization
  Paths
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization PathsInternational Conference on Machine Learning (ICML), 2023
Charles Guille-Escuret
Hiroki Naganuma
Kilian Fatras
Ioannis Mitliagkas
231
8
0
20 Jun 2023
On the Convergence of AdaGrad(Norm) on $\R^{d}$: Beyond Convexity,
  Non-Asymptotic Rate and Acceleration
On the Convergence of AdaGrad(Norm) on Rd\R^{d}Rd: Beyond Convexity, Non-Asymptotic Rate and Acceleration
Zijian Liu
Ta Duy Nguyen
Alina Ene
Huy Le Nguyen
437
13
0
29 Sep 2022
Activated Gradients for Deep Neural Networks
Activated Gradients for Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Mei Liu
Liangming Chen
Xiaohao Du
Long Jin
Mingsheng Shang
ODLAI4CE
201
213
0
09 Jul 2021
1
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