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Variational Bayes under Model Misspecification
v1v2 (latest)

Variational Bayes under Model Misspecification

26 May 2019
Yixin Wang
David M. Blei
ArXiv (abs)PDFHTML

Papers citing "Variational Bayes under Model Misspecification"

14 / 14 papers shown
Title
Predictive variational inference: Learn the predictively optimal posterior distribution
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai
Yuling Yao
BDL
94
0
0
18 Oct 2024
On the Convergence of Black-Box Variational Inference
On the Convergence of Black-Box Variational Inference
Kyurae Kim
Jisu Oh
Kaiwen Wu
Yi-An Ma
Jacob R. Gardner
BDL
94
17
0
24 May 2023
Computing Bayes: From Then 'Til Now'
Computing Bayes: From Then 'Til Now'
G. Martin
David T. Frazier
Christian P. Robert
100
16
0
01 Aug 2022
Bayesian non-conjugate regression via variational message passing
Bayesian non-conjugate regression via variational message passing
C. Castiglione
M. Bernardi
35
0
0
19 Jun 2022
On the inability of Gaussian process regression to optimally learn
  compositional functions
On the inability of Gaussian process regression to optimally learn compositional functions
M. Giordano
Kolyan Ray
Johannes Schmidt-Hieber
116
13
0
16 May 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
77
26
0
20 Dec 2021
Variational inference for cutting feedback in misspecified models
Variational inference for cutting feedback in misspecified models
Xue Yu
David J. Nott
M. Smith
63
14
0
25 Aug 2021
Variational Bayes in State Space Models: Inferential and Predictive
  Accuracy
Variational Bayes in State Space Models: Inferential and Predictive Accuracy
David T. Frazier
Rubén Loaiza-Maya
G. Martin
61
13
0
23 Jun 2021
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
92
29
0
22 Oct 2020
Robust, Accurate Stochastic Optimization for Variational Inference
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka
Alejandro Catalina
Michael Riis Andersen
Maans Magnusson
Jonathan H. Huggins
Aki Vehtari
71
34
0
01 Sep 2020
Dynamics of coordinate ascent variational inference: A case study in 2D
  Ising models
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
Sean Plummer
D. Pati
A. Bhattacharya
104
21
0
13 Jul 2020
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
100
7
0
02 Jun 2020
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
95
17
0
14 Apr 2020
Validated Variational Inference via Practical Posterior Error Bounds
Validated Variational Inference via Practical Posterior Error Bounds
Jonathan H. Huggins
Mikolaj Kasprzak
Trevor Campbell
Tamara Broderick
90
37
0
09 Oct 2019
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