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Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap

8 February 2019

Edwin Fong

Simon Lyddon

Chris Holmes

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Papers citing "Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap"

21 / 21 papers shown

Title
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 115 0 0 06 May 2025
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation Forough Fazeliasl Michael Minyi Zhang Bei Jiang Linglong Kong 83 0 0 13 Mar 2025
AI-Powered Bayesian Inference Veronika Rockova Sean O'Hagan 458 0 0 26 Feb 2025
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 68 0 0 13 Jun 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation Luhuan Wu Sinead Williamson UQCV 89 7 0 18 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee G. Nam Edwin Fong Juho Lee BDL 75 6 0 12 Mar 2024
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models Santiago Marin Bronwyn Loong A. Westveld 66 0 0 07 Nov 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 77 1 0 05 Mar 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization Clément Bénard B. Staber Sébastien Da Veiga 82 5 0 31 Jan 2023
Deep Bootstrap for Bayesian Inference Lizhen Nie Veronika Rockova UQCV BDL 169 3 0 30 May 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 80 45 0 09 Feb 2022
Annealed Leap-Point Sampler for Multimodal Target Distributions Nicholas G. Tawn M. Moores Gareth O. Roberts 68 6 0 24 Dec 2021
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 80 14 0 21 Oct 2021
Nonparametric posterior learning for emission tomography with multimodal data F. Goncharov Éric Barat T. Dautremer MedIm 42 0 0 29 Jul 2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods Marylou Gabrié Grant M. Rotskoff Eric Vanden-Eijnden 50 21 0 16 Jul 2021
Martingale posterior distributions Edwin Fong Chris Holmes S. Walker UQCV 180 51 0 29 Mar 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification E. Pompe 112 9 0 26 Mar 2021
Bayesian Bootstrap Spike-and-Slab LASSO Lizhen Nie Veronika Rockova 174 32 0 29 Nov 2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 70 7 0 26 Oct 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 90 63 0 22 Jun 2020
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection Qifan Song Y. Sun Mao Ye F. Liang BDL 31 18 0 07 Feb 2020