DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution
Regression

DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression

15 February 2016

Jovana Mitrović

Dino Sejdinovic

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Papers citing "DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression"

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Title
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 118 35 0 25 May 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 127 15 0 27 Jan 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 63 10 0 28 Oct 2022
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 106 13 0 22 Jun 2021
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 197 112 0 15 May 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference Kelvin Hsu F. Ramos 59 12 0 03 Mar 2019
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 92 13 0 23 Feb 2018