v1v2 (latest)

Principles of Bayesian Inference using General Divergence Criteria

26 February 2018

Jack Jewson

Jim Q. Smith

Chris Holmes

ArXiv (abs)PDF HTML

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 67 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