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Amortized Variational Inference for Simple Hierarchical Models

Amortized Variational Inference for Simple Hierarchical Models

4 November 2021
Abhinav Agrawal
Justin Domke
    BDL
ArXiv (abs)PDFHTML

Papers citing "Amortized Variational Inference for Simple Hierarchical Models"

18 / 18 papers shown
Title
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu
Hao Miao
Guojiang Shen
Yan Zhao
Xiangjie Kong
Ivan Lee
58
0
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
Amortized Variational Inference for Deep Gaussian Processes
Qiuxian Meng
Yongyou Zhang
35
0
0
18 Sep 2024
Amortized Bayesian Multilevel Models
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
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
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
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
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
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?
Amortized Variational Inference: When and Why?
C. Margossian
David M. Blei
116
13
0
20 Jul 2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
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
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
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
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
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
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
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
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner
Justin Domke
79
5
0
08 Mar 2022
1