Amortized Variational Inference for Simple Hierarchical Models

4 November 2021

Papers citing "Amortized Variational Inference for Simple Hierarchical Models"

18 / 18 papers shown

Title
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 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 116 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