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A General Framework for Updating Belief Distributions

27 June 2013

Pier Giovanni Bissiri

Chris Holmes

S. Walker

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Papers citing "A General Framework for Updating Belief Distributions"

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Title
Loss-calibrated expectation propagation for approximate Bayesian decision-making Michael J. Morais Jonathan W. Pillow 82 6 0 10 Jan 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
Approximate Bayesian Computation via Classification Yuexi Wang Tetsuya Kaji Veronika Rockova 53 4 0 22 Nov 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 207 0 21 Oct 2021
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 80 14 0 21 Oct 2021
Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA Sona Hunanyan Håvard Rue M. Plummer M. Roos 82 2 0 24 Sep 2021
Gibbs posterior inference on a Levy density under discrete sampling Zhe Wang Ryan Martin 86 4 0 14 Sep 2021
Variational inference for cutting feedback in misspecified models Xue Yu David J. Nott M. Smith 73 14 0 25 Aug 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
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 165 83 0 09 Jul 2021
Calibrating generalized predictive distributions Pei-Shien Wu Ryan Martin 100 8 0 04 Jul 2021
Posterior Covariance Information Criterion for Weighted Inference Y. Iba Keisuke Yano 59 3 0 25 Jun 2021
Approximate Bayesian Computation with Path Signatures Joel Dyer Patrick W Cannon Sebastian M. Schmon 115 16 0 23 Jun 2021
Variational Bayes in State Space Models: Inferential and Predictive Accuracy David T. Frazier Rubén Loaiza-Maya G. Martin 63 13 0 23 Jun 2021
Post-hoc loss-calibration for Bayesian neural networks Meet P. Vadera S. Ghosh Kenney Ng Benjamin M. Marlin UQCV BDL 88 7 0 13 Jun 2021
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence S. Yonekura S. Sugasawa 118 25 0 13 Jun 2021
Large Deviation Asymptotics and Bayesian Posterior Consistency on Stochastic Processes and Dynamical Systems Langxuan Su Sayan Mukherjee 47 0 0 13 Jun 2021
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography The Tien Mai 41 1 0 01 Jun 2021
Bayesian inference under model misspecification using transport-Lagrangian distances: an application to seismic inversion A. Scarinci Michael Fehler Youssef Marzouk 32 2 0 14 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 70 17 0 10 May 2021
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior The Tien Mai 60 2 0 16 Apr 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
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC Marko Jarvenpaa J. Corander 61 5 0 08 Apr 2021
Synthetic Likelihood in Misspecified Models: Consequences and Corrections David T. Frazier Christopher C. Drovandi David J. Nott 73 10 0 08 Apr 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 95 18 0 30 Mar 2021
Martingale posterior distributions Edwin Fong Chris Holmes S. Walker UQCV 182 51 0 29 Mar 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification E. Pompe 117 9 0 26 Mar 2021
Active multi-fidelity Bayesian online changepoint detection Gregory W. Gundersen Diana Cai Chuteng Zhou Barbara E. Engelhardt Ryan P. Adams 56 10 0 26 Mar 2021
Posterior consistency for the spectral density of non-Gaussian stationary time series Yifu Tang Claudia Kirch J. Lee R. Meyer 114 2 0 01 Mar 2021
Probabilistic Iterative Methods for Linear Systems Jon Cockayne Ilse C. F. Ipsen Chris J. Oates T. W. Reid 113 11 0 23 Dec 2020
A comparison of learning rate selection methods in generalized Bayesian inference Pei-Shien Wu Ryan Martin BDL 76 48 0 21 Dec 2020
Bayes posterior convergence for loss functions via almost additive Thermodynamic Formalism A. Lopes Silvia R.C. Lopes P. Varandas 66 7 0 10 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 124 29 0 08 Dec 2020
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
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 130 16 0 19 Oct 2020
Minimax Quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function Qiuyun Zhu Yves Atchadé 22 1 0 16 Oct 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 93 46 0 11 Sep 2020
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 91 108 0 25 Jul 2020
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 134 68 0 23 Jul 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
qgam: Bayesian non-parametric quantile regression modelling in R Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 33 60 0 07 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 123 80 0 23 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 119 186 0 16 Jun 2020
A generalized Bayes framework for probabilistic clustering T. Rigon A. Herring David B. Dunson 66 27 0 09 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 126 7 0 02 Jun 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 87 47 0 09 May 2020