MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy

29 September 2019

Papers citing "MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy"

9 / 9 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
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies A. Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 47 0 0 10 Sep 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 41 0 0 30 Aug 2024
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 Antonin Schrab Ilmun Kim 37 3 0 30 May 2024
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 37 14 0 26 Sep 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 12 14 0 19 Nov 2021
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 10 7 0 26 Oct 2020
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 128 451 0 03 Dec 2007