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Variational Bayes on Manifolds
v1v2v3 (latest)

Variational Bayes on Manifolds

Statistics and computing (Stat. Comput.), 2019
8 August 2019
Minh-Ngoc Tran
D. Nguyen
Duy Nguyen
ArXiv (abs)PDFHTML

Papers citing "Variational Bayes on Manifolds"

15 / 15 papers shown
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
596
0
0
10 Feb 2025
Physics-Informed Variational State-Space Gaussian Processes
Physics-Informed Variational State-Space Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2024
Oliver Hamelijnck
Arno Solin
Theodoros Damoulas
318
6
0
20 Sep 2024
Variational Inference for GARCH-family Models
Variational Inference for GARCH-family ModelsInternational Conference on AI in Finance (ICAF), 2023
M. Magris
Alexandros Iosifidis
319
1
0
05 Oct 2023
Stochastic Variational Inference for GARCH Models
Stochastic Variational Inference for GARCH ModelsStatistics and computing (Stat. Comput.), 2023
Hanwen Xuan
Luca Maestrini
F. Chen
Clara Grazian
287
2
0
29 Aug 2023
Bayesian Learning for Neural Networks: an algorithmic survey
Bayesian Learning for Neural Networks: an algorithmic surveyArtificial Intelligence Review (Artif Intell Rev), 2022
M. Magris
Alexandros Iosifidis
BDLDRL
490
122
0
21 Nov 2022
Manifold Gaussian Variational Bayes on the Precision Matrix
Manifold Gaussian Variational Bayes on the Precision MatrixNeural Computation (Neural Comput.), 2022
M. Magris
M. Shabani
Alexandros Iosifidis
390
2
0
26 Oct 2022
Quasi Black-Box Variational Inference with Natural Gradients for
  Bayesian Learning
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning
M. Magris
M. Shabani
Alexandros Iosifidis
BDL
272
4
0
23 May 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st CenturyStatistical Science (Statist. Sci.), 2021
G. Martin
David T. Frazier
Christian P. Robert
253
29
0
20 Dec 2021
Bayes-Newton Methods for Approximate Bayesian Inference with PSD
  Guarantees
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesJournal of machine learning research (JMLR), 2021
William J. Wilkinson
Simo Särkkä
Arno Solin
BDL
323
18
0
02 Nov 2021
Analytic natural gradient updates for Cholesky factor in Gaussian
  variational approximation
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
Linda S. L. Tan
1.0K
19
0
01 Sep 2021
Quantum Speedup of Natural Gradient for Variational Bayes
Quantum Speedup of Natural Gradient for Variational Bayes
A. Lopatnikova
Minh-Ngoc Tran
BDL
368
3
0
10 Jun 2021
A practical tutorial on Variational Bayes
A practical tutorial on Variational Bayes
Minh-Ngoc Tran
Trong-Nghia Nguyen
Viet-Hung Dao
BDL
227
49
0
01 Mar 2021
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
387
20
0
14 Apr 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Handling the Positive-Definite Constraint in the Bayesian Learning RuleInternational Conference on Machine Learning (ICML), 2020
Wu Lin
Mark Schmidt
Mohammad Emtiyaz Khan
BDL
942
41
0
24 Feb 2020
Manifold Optimization Assisted Gaussian Variational Approximation
Manifold Optimization Assisted Gaussian Variational ApproximationJournal of Computational And Graphical Statistics (JCGS), 2019
Bingxin Zhou
Junbin Gao
Minh-Ngoc Tran
Richard Gerlach
218
6
0
11 Feb 2019
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