Kernel Recursive ABC: Point Estimation with Intractable Likelihood

23 February 2018

Papers citing "Kernel Recursive ABC: Point Estimation with Intractable Likelihood"

6 / 6 papers shown

Title
Copula Approximate Bayesian Computation Using Distribution Random Forests G. Karabatsos 42 1 0 28 Feb 2024
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
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 32 12 0 22 Jun 2021
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference Kelvin Hsu F. Ramos 30 12 0 03 Mar 2019
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 85 143 0 21 May 2012