Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo

22 June 2021

Papers citing "Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo"

8 / 8 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 81 1 0 26 Apr 2025
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 45 1 0 05 Nov 2024
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 24 1 0 05 Mar 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 40 12 0 27 Jan 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 30 10 0 28 Oct 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 28 42 0 09 Feb 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 32 14 0 19 Nov 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 56 72 0 29 Sep 2019