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Fast and accurate optimization on the orthogonal manifold without
  retraction

Fast and accurate optimization on the orthogonal manifold without retraction

15 February 2021
Pierre Ablin
Gabriel Peyré
ArXivPDFHTML

Papers citing "Fast and accurate optimization on the orthogonal manifold without retraction"

7 / 7 papers shown
Title
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Andi Han
Pierre-Louis Poirion
Akiko Takeda
0
0
0
18 May 2025
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar
Marzieh Alireza Mirhoseini
Robert Rosenbaum
AAML
AI4CE
39
0
0
15 Aug 2024
Robust low-rank training via approximate orthonormal constraints
Robust low-rank training via approximate orthonormal constraints
Dayana Savostianova
Emanuele Zangrando
Gianluca Ceruti
Francesco Tudisco
24
9
0
02 Jun 2023
Convex optimization over a probability simplex
Convex optimization over a probability simplex
James Chok
G. Vasil
25
2
0
15 May 2023
Orthogonal Directions Constrained Gradient Method: from non-linear
  equality constraints to Stiefel manifold
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
S. Schechtman
D. Tiapkin
Michael Muehlebach
Eric Moulines
27
6
0
16 Mar 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond
Allison C. Tam
Yunhao Tang
Florian Strub
Bilal Piot
Felix Hill
SSL
31
9
0
09 Feb 2023
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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