Automated Variational Inference in Probabilistic Programming

7 January 2013

Papers citing "Automated Variational Inference in Probabilistic Programming"

50 / 70 papers shown

Title
Amortized variational transdimensional inference Laurence Davies Dan Mackinlay Rafael Oliveira Scott A. Sisson DRL BDL 116 0 0 05 Jun 2025
Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap Sam Bowyer Laurence Aitchison 69 0 0 11 Mar 2025
Automated Discovery of Pairwise Interactions from Unstructured Data Zuheng Xu Moksh Jain Ali Denton Shawn Whitfield Aniket Didolkar Berton Earnshaw Jason S. Hartford 75 5 0 11 Sep 2024
VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann C. A. Naesseth Jan-Willem van de Meent 67 1 0 14 Mar 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing Dominik Wagner Basim Khajwal C.-H. Luke Ong 31 1 0 19 Feb 2024
Variational Elliptical Processes Maria B˙ankestad Jens Sjölund Jalil Taghia Thomas B. Schon 71 2 0 21 Nov 2023
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support Tim Reichelt C. Ong Tom Rainforth 63 2 0 01 Nov 2023
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support Tim Reichelt C.-H. Luke Ong Tom Rainforth 59 0 0 23 Oct 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 95 21 0 04 Jun 2023
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments Ricardo Cannizzaro Lars Kunze 59 10 0 13 Apr 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 67 4 0 13 Apr 2023
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing Basim Khajwal C.-H. Luke Ong Dominik Wagner 25 4 0 09 Jan 2023
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics Masataro Asai 77 0 0 08 Sep 2022
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference Wonyeol Lee Xavier Rival Hongseok Yang 98 10 0 22 Aug 2022
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 61 11 0 16 May 2022
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation Edward Kim Jay Shenoy Sebastian Junges Daniel J. Fremont Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia 78 3 0 01 Dec 2021
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 129 6 0 01 Oct 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV 73 4 0 20 Sep 2021
Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables Arber Qoku Florian Buettner 21 0 0 08 Jul 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 83 21 0 21 Jun 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Learning Proposals for Probabilistic Programs with Inference Combinators Sam Stites Heiko Zimmermann Hao Wu Eli Sennesh Jan-Willem van de Meent NAI 84 16 0 01 Mar 2021
Automatic variational inference with cascading flows L. Ambrogioni Gianluigi Silvestri Marcel van Gerven TPM BDL 46 10 0 09 Feb 2021
Variational Bayes survival analysis for unemployment modelling P. Boškoski M. Perne M. Ramesa Biljana Mileva-Boshkoska CML 67 10 0 03 Feb 2021
Semi-parametric $γ$ -ray modeling with Gaussian processes and variational inference S. Mishra-Sharma Kyle Cranmer MedIm 102 7 0 20 Oct 2020
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV DRL 43 5 0 18 Oct 2020
Training Multimodal Systems for Classification with Multiple Objectives Jason Armitage Shramana Thakur Rishi Tripathi Jens Lehmann M. Maleshkova 51 1 0 26 Aug 2020
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian Ahmed Alaa Mihaela van der Schaar 76 41 0 27 Jul 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables Zhe Dong A. Mnih George Tucker DRL 68 34 0 18 Jun 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes Zhaozhi Qian Ahmed Alaa M. Schaar 61 33 0 13 May 2020
Stochastically Differentiable Probabilistic Programs David Tolpin Yuanshuo Zhou Hongseok Yang BDL 39 0 0 02 Mar 2020
Automatic structured variational inference L. Ambrogioni Kate Lin Emily Fertig Sharad Vikram Max Hinne Dave Moore Marcel van Gerven BDL 84 31 0 03 Feb 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuanshuo Zhou Hongseok Yang Yee Whye Teh Tom Rainforth TPM 70 20 0 29 Oct 2019
Amortized Rejection Sampling in Universal Probabilistic Programming Saeid Naderiparizi Adam Scibior Andreas Munk Mehrdad Ghadiri A. G. Baydin ... R. Zinkov Philip Torr Tom Rainforth Yee Whye Teh Frank Wood 69 7 0 20 Oct 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 57 12 0 09 Aug 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 70 26 0 20 Jul 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 94 416 0 25 Jun 2019
Deployable probabilistic programming David Tolpin TPM 104 7 0 20 Jun 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 59 23 0 19 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 129 2,381 0 06 Jun 2019
Robust Variational Autoencoder H. Akrami Anand A. Joshi Jian Li Sergul Aydore Richard M. Leahy DRL 87 21 0 23 May 2019
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 74 36 0 24 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 98 45 0 07 Jan 2019
Effect Handling for Composable Program Transformations in Edward2 Dave Moore Maria I. Gorinova 117 15 0 15 Nov 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 88 200 0 27 Sep 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 90 31 0 20 Jul 2018
Pathwise Derivatives for Multivariate Distributions M. Jankowiak Theofanis Karaletsos 121 11 0 05 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 176 113 0 05 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 125 32 0 01 Jun 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 126 32 0 05 Apr 2018