Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

27 January 2023

Papers citing "Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference"

5 / 5 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 73 0 0 26 Apr 2025
Approximate Bayesian Computation with Domain Expert in the Loop Ayush Bharti Louis Filstroff Samuel Kaski TPM 14 7 0 28 Jan 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 20 14 0 19 Nov 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 93 180 0 12 Jan 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 54 62 0 29 Sep 2019