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2308.05621
Cited By
Normalized Gradients for All
10 August 2023
Francesco Orabona
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Papers citing
"Normalized Gradients for All"
11 / 11 papers shown
Non-Euclidean Broximal Point Method: A Blueprint for Geometry-Aware Optimization
Kaja Gruntkowska
Peter Richtárik
241
3
0
01 Oct 2025
Stochastic Adaptive Gradient Descent Without Descent
Jean-François Aujol
Jérémie Bigot
Camille Castera
ODL
302
1
0
18 Sep 2025
AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
Minxin Zhang
Yuxuan Liu
Hayden Schaeffer
280
9
0
03 Sep 2025
Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization
Ekaterina Borodich
D. Kovalev
220
5
0
13 Jul 2025
Glocal Smoothness: Line Search can really help!
Curtis Fox
Aaron Mishkin
Sharan Vaswani
Mark Schmidt
358
5
0
14 Jun 2025
Generalized Gradient Norm Clipping & Non-Euclidean
(
L
0
,
L
1
)
(L_0,L_1)
(
L
0
,
L
1
)
-Smoothness
Thomas Pethick
Wanyun Xie
Mete Erdogan
Kimon Antonakopoulos
Tony Silveti-Falls
Volkan Cevher
385
9
0
02 Jun 2025
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin
Ahmed Khaled
Yuanhao Wang
Aaron Defazio
Robert Mansel Gower
497
17
0
06 Mar 2024
Tuning-Free Stochastic Optimization
Ahmed Khaled
Chi Jin
318
13
0
12 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
337
13
0
05 Feb 2024
A simple uniformly optimal method without line search for convex optimization
Tianjiao Li
Guanghui Lan
468
47
0
16 Oct 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
Neural Information Processing Systems (NeurIPS), 2023
Ahmed Khaled
Konstantin Mishchenko
Chi Jin
ODL
479
43
0
25 May 2023
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