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Riemannian coordinate descent algorithms on matrix manifolds

Riemannian coordinate descent algorithms on matrix manifolds

4 June 2024
Andi Han
Pratik Jawanpuria
Bamdev Mishra
ArXivPDFHTML

Papers citing "Riemannian coordinate descent algorithms on matrix manifolds"

5 / 5 papers shown
Title
Differentially Private Geodesic and Linear Regression
Differentially Private Geodesic and Linear Regression
Aditya Kulkarni
Carlos Soto
21
0
0
15 Apr 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
34
1
0
03 Oct 2024
Federated Learning on Riemannian Manifolds with Differential Privacy
Federated Learning on Riemannian Manifolds with Differential Privacy
Zhenwei Huang
Wen Huang
Pratik Jawanpuria
Bamdev Mishra
FedML
16
5
0
15 Apr 2024
Low-complexity subspace-descent over symmetric positive definite
  manifold
Low-complexity subspace-descent over symmetric positive definite manifold
Yogesh Darmwal
K. Rajawat
22
2
0
03 May 2023
Fast and accurate optimization on the orthogonal manifold without
  retraction
Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin
Gabriel Peyré
46
26
0
15 Feb 2021
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