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Symmetries in Directed Gaussian Graphical Models
v1v2 (latest)

Symmetries in Directed Gaussian Graphical Models

23 August 2021
V. Makam
Philipp Reichenbach
A. Seigal
ArXiv (abs)PDFHTML

Papers citing "Symmetries in Directed Gaussian Graphical Models"

6 / 6 papers shown
Title
Colored Gaussian DAG models
Colored Gaussian DAG models
Tobias Boege
Kaie Kubjas
Pratik Misra
Liam Solus
72
0
0
05 Apr 2024
Complete collineations for maximum likelihood estimation
Complete collineations for maximum likelihood estimation
Gergely Bérczi
Eloise Hamilton
Philipp Reichenbach
A. Seigal
55
0
0
06 Nov 2023
Parametric and nonparametric symmetries in graphical models for extremes
Parametric and nonparametric symmetries in graphical models for extremes
Frank Rottger
Jane Ivy Coons
Alexandros Grosdos
51
8
0
01 Jun 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization
  with Applications to Deep Learning
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Wu Lin
Valentin Duruisseaux
Melvin Leok
Frank Nielsen
Mohammad Emtiyaz Khan
Mark Schmidt
104
10
0
20 Feb 2023
Symmetrically colored Gaussian graphical models with toric vanishing
  ideal
Symmetrically colored Gaussian graphical models with toric vanishing ideal
Jane Ivy Coons
Aida Maraj
Pratik Misra
Miruna-Stefana Sorea
25
5
0
29 Nov 2021
Maximum likelihood thresholds via graph rigidity
Maximum likelihood thresholds via graph rigidity
D. Bernstein
Sean Dewar
S. Gortler
A. Nixon
Meera Sitharam
Louis Theran
42
10
0
04 Aug 2021
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