Automatic Reparameterisation of Probabilistic Programs

Automatic Reparameterisation of Probabilistic Programs

7 June 2019

Maria I. Gorinova

Matthew D. Hoffman

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Papers citing "Automatic Reparameterisation of Probabilistic Programs"

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Title
Efficiently Vectorized MCMC on Modern Accelerators Hugh Dance Pierre Glaser Peter Orbanz Ryan P. Adams 85 0 0 20 Mar 2025
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai Justin Domke Daniel Sheldon 128 0 0 31 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 233 1 0 22 Jul 2024
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis Anna Elisabeth Riha Nikolas Siccha Antti Oulasvirta Aki Vehtari 69 0 0 02 Apr 2024
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Philipp Reiser Javier Enrique Aguilar A. Guthke Paul-Christian Bürkner 151 3 0 08 Dec 2023
Automatically Marginalized MCMC in Probabilistic Programming Jinlin Lai Javier Burroni Hui Guan Daniel Sheldon 87 3 0 01 Feb 2023
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference Wonyeol Lee Xavier Rival Hongseok Yang 98 10 0 22 Aug 2022
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming Raven Beutner Luke Ong Fabian Zaiser 62 12 0 06 Apr 2022
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling Gianluigi Silvestri Emily Fertig David A. Moore L. Ambrogioni BDL TPM AI4CE 99 4 0 12 Oct 2021
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 94 63 0 22 Jun 2020