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

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

13 / 13 papers shown

Title
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 24 0 0 12 May 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 78 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 28 0 0 04 Oct 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 35 6 0 05 Jun 2024
Language Generation with Strictly Proper Scoring Rules Chenze Shao Fandong Meng Yijin Liu Jie Zhou 54 4 0 29 May 2024
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 23 14 0 04 Oct 2023
Probabilistic Self-supervised Learning via Scoring Rules Minimization Amirhossein Vahidi Simon Schoßer Lisa Wimmer Yawei Li B. Bischl Eyke Hüllermeier Mina Rezaei SSL 20 2 0 05 Sep 2023
Non-adversarial training of Neural SDEs with signature kernel scores Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 20 24 0 25 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 38 30 0 25 May 2023
Bayesian score calibration for approximate models Joshua J. Bon D. Warne David J. Nott Christopher C. Drovandi 13 3 0 10 Nov 2022
Likelihood-Free Parameter Estimation with Neural Bayes Estimators Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 17 32 0 27 Aug 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 56 72 0 29 Sep 2019