MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy

29 September 2019

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

29 / 29 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 70 0 0 26 May 2025
Integral Imprecise Probability Metrics Siu Lun Chau Michele Caprio Krikamol Muandet 96 0 0 22 May 2025
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 99 0 0 10 Sep 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 122 1 0 30 Aug 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 99 5 0 11 Aug 2024
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 96 15 0 26 Sep 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 78 16 0 19 Nov 2021
Convergence Rates of Variational Inference in Sparse Deep Learning Badr-Eddine Chérief-Abdellatif BDL 67 38 0 09 Aug 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 51 72 0 13 Jun 2019
PAC-Bayes under potentially heavy tails Matthew J. Holland 79 42 0 20 May 2019
A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif Pierre Alquier Mohammad Emtiyaz Khan BDL 38 25 0 08 Apr 2019
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 68 19 0 28 Oct 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 89 52 0 14 May 2018
Principles of Bayesian Inference using General Divergence Criteria Jack Jewson Jim Q. Smith Chris Holmes 53 88 0 26 Feb 2018
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 52 64 0 25 Dec 2017
Robust Bayes-Like Estimation: Rho-Bayes estimation Y. Baraud Lucien Birgé 37 4 0 22 Nov 2017
Variational Inference based on Robust Divergences Futoshi Futami Issei Sato Masashi Sugiyama BDL OOD 78 67 0 18 Oct 2017
Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification James Ridgway 58 8 0 19 Jul 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 66 124 0 28 Jun 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 74 108 0 03 Nov 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 104 735 0 31 May 2016
Minimax Estimation of Kernel Mean Embeddings Ilya O. Tolstikhin Bharath K. Sriperumbudur Krikamol Muandet 45 86 0 13 Feb 2016
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 100 255 0 12 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 105 847 0 10 Feb 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 86 267 0 11 Dec 2014
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 211 476 0 27 Jun 2013
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 166 462 0 10 Sep 2010
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 306 458 0 03 Dec 2007