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General Bayesian Updating and the Loss-Likelihood Bootstrap

22 September 2017

Simon Lyddon

Chris Holmes

S. Walker

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Papers citing "General Bayesian Updating and the Loss-Likelihood Bootstrap"

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Title
AI-Powered Bayesian Inference Veronika Rockova Sean O'Hagan 463 0 0 26 Feb 2025
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 61 1 0 18 Oct 2024
Temperature Optimization for Bayesian Deep Learning Kenyon Ng Chris van der Heide Liam Hodgkinson Susan Wei BDL 124 0 0 08 Oct 2024
Generalized Posterior Calibration via Sequential Monte Carlo Sampler Masahiro Tanaka 105 2 0 25 Apr 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 75 2 0 19 Mar 2024
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models Santiago Marin Bronwyn Loong A. Westveld 75 0 0 07 Nov 2023
Robustness of Bayesian ordinal response model against outliers via divergence approach Tomotaka Momozaki Tomoyuki Nakagawa 60 1 0 12 May 2023
Robustifying likelihoods by optimistically re-weighting data Miheer Dewaskar Christopher Tosh Jeremias Knoblauch David B. Dunson 93 6 0 19 Mar 2023
Robust and Scalable Bayesian Online Changepoint Detection Matias Altamirano F. Briol Jeremias Knoblauch 77 14 0 09 Feb 2023
On approximate robust confidence distributions Elena Bortolato L. Ventura 45 3 0 19 Dec 2022
Generalised Bayesian Inference for Discrete Intractable Likelihood Takuo Matsubara Jeremias Knoblauch F. Briol Chris J. Oates 112 19 0 16 Jun 2022
Deep Bootstrap for Bayesian Inference Lizhen Nie Veronika Rockova UQCV BDL 180 3 0 30 May 2022
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 92 7 0 21 Feb 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 88 45 0 09 Feb 2022
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 80 14 0 21 Oct 2021
Mitigating Statistical Bias within Differentially Private Synthetic Data Sahra Ghalebikesabi H. Wilde Jack Jewson Arnaud Doucet Sandra Jeanne Vollmer Chris Holmes SyDa 85 7 0 24 Aug 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 80 80 0 15 Apr 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification E. Pompe 124 9 0 26 Mar 2021
A comparison of learning rate selection methods in generalized Bayesian inference Pei-Shien Wu Ryan Martin BDL 76 48 0 21 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 124 29 0 08 Dec 2020
Foundations of Bayesian Learning from Synthetic Data H. Wilde Jack Jewson Sebastian J. Vollmer Chris Holmes 87 15 0 16 Nov 2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 72 7 0 26 Oct 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee Joong-won Hwang Hyungil Kim Kimin Yun Yongjin Kwon Yuseok Bae Joungyoul Park 98 32 0 28 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 104 17 0 14 Apr 2020
Gibbs posterior inference on multivariate quantiles Indrabati Bhattacharya Ryan Martin 128 21 0 03 Feb 2020
Robust Inference and Model Criticism Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller 142 15 0 15 Dec 2019
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck Theodoros Damoulas Kangrui Wang Mark Girolami 57 38 0 19 Jun 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 138 111 0 21 May 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap Edwin Fong Simon Lyddon Chris Holmes 184 36 0 08 Feb 2019
Nonparametric learning from Bayesian models with randomized objective functions Simon Lyddon S. Walker C. C. Holmes OOD 127 48 0 29 Jun 2018
Bayesian Bootstraps for Massive Data Andrés F. Barrientos Víctor Pena 50 7 0 28 May 2017