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

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

27 January 2023

Masha Naslidnyk

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

12 / 12 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
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 26 0 0 25 Feb 2025
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 28 2 0 15 Oct 2024
Cost-aware Simulation-based Inference Ayush Bharti Daolang Huang Samuel Kaski F. Briol 21 0 0 10 Oct 2024
Conditional Bayesian Quadrature Zonghao Chen Masha Naslidnyk A. Gretton F. Briol TPM 28 3 0 24 Jun 2024
Structurally Aware Robust Model Selection for Mixtures Jiawei Li Jonathan H. Huggins 11 0 0 01 Mar 2024
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 23 14 0 25 May 2023
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 8 1 0 05 Mar 2023
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