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Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap

9 February 2022
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
ArXivPDFHTML

Papers citing "Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap"

11 / 11 papers shown
Title
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
73
0
0
26 Apr 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma
Ayush Bharti
Vikas K. Garg
53
0
0
03 Mar 2025
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
62
4
0
11 Aug 2024
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
45
3
0
30 May 2024
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy
  Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial
  Networks
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
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
  Likelihood-Free Inference
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
18
12
0
27 Jan 2023
Targeted Separation and Convergence with Kernel Discrepancies
Targeted Separation and Convergence with Kernel Discrepancies
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
40
14
0
26 Sep 2022
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
16
34
0
16 Dec 2021
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
A. Gretton
F. Briol
T. Fernandez
20
14
0
19 Nov 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
54
62
0
29 Sep 2019
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
128
451
0
03 Dec 2007
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