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1202.5183
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Asymptotic normality and valid inference for Gaussian variational approximation
23 February 2012
P. Hall
Tung H. Pham
M. Wand
S. S. J. Wang
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Papers citing
"Asymptotic normality and valid inference for Gaussian variational approximation"
20 / 20 papers shown
Title
General bounds on the quality of Bayesian coresets
Trevor Campbell
61
2
0
20 May 2024
Bayesian Model Selection via Mean-Field Variational Approximation
Yangfan Zhang
Yun Yang
17
4
0
17 Dec 2023
Gaussian variational approximation with composite likelihood for crossed random effect models
Libai Xu
Nancy Reid
Dehan Kong
11
2
0
19 Oct 2023
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
33
3
0
15 Oct 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
S. Mukherjee
Bodhisattva Sen
Subhabrata Sen
32
4
0
28 Sep 2023
On the Convergence of Coordinate Ascent Variational Inference
A. Bhattacharya
D. Pati
Yun Yang
17
10
0
01 Jun 2023
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
45
4
0
21 Apr 2023
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection
Kush S. Bhatia
Nikki Lijing Kuang
Yi Ma
Yixin Wang
19
6
0
22 Jul 2022
Bayesian non-conjugate regression via variational message passing
C. Castiglione
M. Bernardi
23
0
0
19 Jun 2022
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Michael Celentano
Z. Fan
Song Mei
FedML
21
22
0
21 Jun 2021
Variational Inference in high-dimensional linear regression
S. Mukherjee
S. Sen
BDL
6
23
0
25 Apr 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation
Zuheng Xu
Trevor Campbell
19
7
0
13 Apr 2021
Statistical Inference in Mean-Field Variational Bayes
Wei Han
Yun Yang
25
17
0
04 Nov 2019
Variational Bayes under Model Misspecification
Yixin Wang
David M. Blei
8
44
0
26 May 2019
Approximation Properties of Variational Bayes for Vector Autoregressions
Reza Hajargasht
BDL
16
1
0
02 Mar 2019
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks
Shaobo Han
David B. Dunson
16
1
0
01 Jan 2019
Semiparametric Regression using Variational Approximations
Francis K. C. Hui
Chong You
H. Shang
Samuel G. Müller
9
16
0
03 Oct 2018
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Yen-Chi Chen
Y Samuel Wang
E. Erosheva
BDL
17
19
0
29 Nov 2017
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
28
204
0
09 May 2017
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
32
4,705
0
04 Jan 2016
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