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1908.03097
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Variational Bayes on Manifolds
8 August 2019
Minh-Ngoc Tran
D. Nguyen
Duy Nguyen
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Papers citing
"Variational Bayes on Manifolds"
11 / 11 papers shown
Title
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
Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck
Arno Solin
Theodoros Damoulas
72
1
0
20 Sep 2024
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning
M. Magris
M. Shabani
Alexandros Iosifidis
BDL
75
4
0
23 May 2022
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
77
26
0
20 Dec 2021
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
William J. Wilkinson
Simo Särkkä
Arno Solin
BDL
98
16
0
02 Nov 2021
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
Linda S. L. Tan
108
13
0
01 Sep 2021
Quantum Speedup of Natural Gradient for Variational Bayes
A. Lopatnikova
Minh-Ngoc Tran
BDL
119
3
0
10 Jun 2021
A practical tutorial on Variational Bayes
Minh-Ngoc Tran
Trong-Nghia Nguyen
Viet-Hung Dao
BDL
79
39
0
01 Mar 2021
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
104
17
0
14 Apr 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin
Mark Schmidt
Mohammad Emtiyaz Khan
BDL
181
36
0
24 Feb 2020
Manifold Optimization Assisted Gaussian Variational Approximation
Bingxin Zhou
Junbin Gao
Minh-Ngoc Tran
Richard Gerlach
67
6
0
11 Feb 2019
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