Likelihood-Free Inference with Generative Neural Networks via Scoring
Rule Minimization

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

31 May 2022

Lorenzo Pacchiardi

Ritabrata Dutta

ArXiv (abs)PDF HTML

Papers citing "Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization"

19 / 19 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 190 0 0 24 Apr 2025
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions Jianxin Zhang Josh Viktorov Doosan Jung Emily Pitler DiffM 213 0 0 04 Oct 2024
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 639 15 0 04 Oct 2023
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 182 220 0 09 May 2023
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh Steven L. Waslander UQCV 118 41 0 13 Jan 2021
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 292 197 0 13 Mar 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 221 124 0 10 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,717 0 05 Dec 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 164 75 0 29 Sep 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 390 332 0 17 May 2019
Approximate Bayesian computation via the energy statistic Hien Nguyen Julyan Arbel Hongliang Lü F. Forbes 90 29 0 14 May 2019
On GANs and GMMs Eitan Richardson Yair Weiss GAN 181 152 0 31 May 2018
Likelihood-free inference with emulator networks Jan-Matthis Lueckmann Giacomo Bassetto Theofanis Karaletsos Jakob H. Macke 165 128 0 23 May 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 546 370 0 18 May 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 184 1,501 0 04 Jan 2018
DISCO Nets: DISsimilarity COefficient Networks Diane Bouchacourt P. Mudigonda Sebastian Nowozin BDL UD DRL 150 59 0 08 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 164 1,659 0 02 Jun 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 181 158 0 20 May 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.