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Analytic natural gradient updates for Cholesky factor in Gaussian
  variational approximation
v1v2v3v4v5v6v7v8v9 (latest)

Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation

1 September 2021
Linda S. L. Tan
ArXiv (abs)PDFHTML

Papers citing "Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation"

6 / 6 papers shown
Title
Spectral-factorized Positive-definite Curvature Learning for NN Training
Spectral-factorized Positive-definite Curvature Learning for NN Training
Wu Lin
Felix Dangel
Runa Eschenhagen
Juhan Bae
Richard E. Turner
Roger B. Grosse
171
0
0
10 Feb 2025
Can We Remove the Square-Root in Adaptive Gradient Methods? A
  Second-Order Perspective
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Wu Lin
Felix Dangel
Runa Eschenhagen
Juhan Bae
Richard Turner
Alireza Makhzani
ODL
156
13
0
05 Feb 2024
Structured Inverse-Free Natural Gradient: Memory-Efficient &
  Numerically-Stable KFAC
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC
Wu Lin
Felix Dangel
Runa Eschenhagen
Kirill Neklyudov
Agustinus Kristiadi
Richard Turner
Alireza Makhzani
56
4
0
09 Dec 2023
Natural Gradient Hybrid Variational Inference with Application to Deep
  Mixed Models
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models
Weiben Zhang
M. Smith
Worapree Maneesoonthorn
Rubén Loaiza-Maya
26
1
0
27 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable
  Models
Federated Variational Inference Methods for Structured Latent Variable Models
Conor Hassan
Roberto Salomone
Kerrie Mengersen
BDLFedML
70
4
0
07 Feb 2023
Bayesian Learning for Neural Networks: an algorithmic survey
Bayesian Learning for Neural Networks: an algorithmic survey
M. Magris
Alexandros Iosifidis
BDLDRL
114
77
0
21 Nov 2022
1