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2111.03144
Cited By
Amortized Variational Inference for Simple Hierarchical Models
4 November 2021
Abhinav Agrawal
Justin Domke
BDL
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Papers citing
"Amortized Variational Inference for Simple Hierarchical Models"
18 / 18 papers shown
Title
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
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Hao Miao
Guojiang Shen
Yan Zhao
Xiangjie Kong
Ivan Lee
60
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0
02 Jun 2025
Massively Parallel Expectation Maximization For Approximate Posteriors
Thomas Heap
Sam Bowyer
Laurence Aitchison
69
0
0
11 Mar 2025
Amortized Variational Inference for Deep Gaussian Processes
Qiuxian Meng
Yongyou Zhang
35
0
0
18 Sep 2024
Amortized Bayesian Multilevel Models
Daniel Habermann
Marvin Schmitt
Lars Kühmichel
Andreas Bulling
Stefan T. Radev
Paul-Christian Bürkner
252
4
0
23 Aug 2024
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations
Jian Xu
Zhiqi Lin
Min Chen
Junmei Yang
Delu Zeng
John Paisley
62
0
0
12 Aug 2024
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
74
0
0
30 May 2024
Improved off-policy training of diffusion samplers
Marcin Sendera
Minsu Kim
Sarthak Mittal
Pablo Lemos
Luca Scimeca
Jarrid Rector-Brooks
Alexandre Adam
Yoshua Bengio
Nikolay Malkin
OffRL
239
28
0
07 Feb 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families
Joohwan Ko
Kyurae Kim
W. Kim
Jacob R. Gardner
BDL
72
4
0
19 Jan 2024
Using Autodiff to Estimate Posterior Moments, Marginals and Samples
Sam Bowyer
Thomas Heap
Laurence Aitchison
73
1
0
26 Oct 2023
Amortized Variational Inference: When and Why?
C. Margossian
David M. Blei
118
13
0
20 Jul 2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Lukas Heinrich
S. Mishra-Sharma
C. Pollard
Philipp Windischhofer
120
7
0
21 Jun 2023
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
The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference
C. Margossian
Lawrence K. Saul
83
8
0
17 Feb 2023
GFlowNet-EM for learning compositional latent variable models
J. E. Hu
Nikolay Malkin
Moksh Jain
Katie Everett
Alexandros Graikos
Yoshua Bengio
CoGe
103
41
0
13 Feb 2023
Gaussian Process-Gated Hierarchical Mixtures of Experts
Yuhao Liu
Marzieh Ajirak
Petar M. Djurić
MoE
59
1
0
09 Feb 2023
Structured variational approximations with skew normal decomposable graphical models
Roberto Salomone
Xue Yu
David J. Nott
Robert Kohn
77
2
0
07 Feb 2023
PAVI: Plate-Amortized Variational Inference
Louis Rouillard
Thomas Moreau
Demian Wassermann
44
1
0
10 Jun 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner
Justin Domke
79
5
0
08 Mar 2022
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