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Principles of Bayesian Inference using General Divergence Criteria

26 February 2018

Jack Jewson

Jim Q. Smith

Chris Holmes

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Papers citing "Principles of Bayesian Inference using General Divergence Criteria"

36 / 36 papers shown

Title
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 119 0 0 06 May 2025
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy Elham Afzali Saman Muthukumarana Liqun Wang 91 0 0 03 Mar 2025
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 242 9 0 17 Feb 2025
Predictive performance of power posteriors Yann McLatchie Edwin Fong David T. Frazier Jeremias Knoblauch 61 2 0 16 Aug 2024
Generalised Bayes Linear Inference L. Astfalck Cassandra Bird Daniel Williamson AI4CE 62 0 0 23 May 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 81 8 0 27 Dec 2023
Reproducible Parameter Inference Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller UQCV 128 1 0 03 Nov 2023
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 52 0 0 13 Oct 2023
On the meaning of uncertainty for ethical AI: philosophy and practice Cassandra Bird Daniel Williamson Sabina Leonelli 37 1 0 11 Sep 2023
Differentially Private Statistical Inference through $β$ -Divergence One Posterior Sampling Jack Jewson Sahra Ghalebikesabi Chris Holmes 84 2 0 11 Jul 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit Wild Sahra Ghalebikesabi Dino Sejdinovic Jeremias Knoblauch BDL UQCV 98 16 0 24 May 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
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
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 62 3 0 30 Oct 2022
Sampling algorithms in statistical physics: a guide for statistics and machine learning Michael F Faulkner Samuel Livingstone 57 7 0 09 Aug 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 78 15 0 01 Jul 2022
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity Sirio Legramanti Daniele Durante Pierre Alquier 98 6 0 14 Jun 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 95 5 0 03 Mar 2022
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence S. Yonekura S. Sugasawa 124 25 0 13 Jun 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
Generalized Posteriors in Approximate Bayesian Computation Sebastian M. Schmon Patrick W Cannon Jeremias Knoblauch 111 25 0 17 Nov 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
$β$ -Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers Dionysis Manousakas Cecilia Mascolo 45 2 0 31 Aug 2020
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 66 23 0 08 Jul 2020
Robust Bayesian Classification Using an Optimistic Score Ratio Viet Anh Nguyen Nian Si Jose H. Blanchet 84 13 0 08 Jul 2020
Generalised Bayes Updates with $f$ -divergences through Probabilistic Classifiers Owen Thomas Henri Pesonen J. Corander FedML 65 2 0 08 Jul 2020
Generalized Bayesian Filtering via Sequential Monte Carlo Ayman Boustati Ömer Deniz Akyildiz Theodoros Damoulas A. M. Johansen 69 4 0 23 Feb 2020
Frequentist Consistency of Generalized Variational Inference Jeremias Knoblauch 66 11 0 10 Dec 2019
On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up Tuhin Majumder A. Basu A. Ghosh 44 0 0 27 Nov 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 186 75 0 29 Sep 2019
Robust Deep Gaussian Processes Jeremias Knoblauch GP 62 17 0 04 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$ -Divergences Jeremias Knoblauch Jack Jewson Theodoros Damoulas 81 58 0 06 Jun 2018