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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
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 104 17 0 14 Apr 2020
Direct loss minimization algorithms for sparse Gaussian processes Yadi Wei Rishit Sheth Roni Khardon 74 14 0 07 Apr 2020
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components Chris U. Carmona Geoff K. Nicholls 122 27 0 15 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 103 43 0 25 Feb 2020
Generalized Bayesian Filtering via Sequential Monte Carlo Ayman Boustati Ömer Deniz Akyildiz Theodoros Damoulas A. M. Johansen 67 4 0 23 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 175 658 0 20 Feb 2020
Observational nonidentifiability, generalized likelihood and free energy A. Allahverdyan 15 2 0 18 Feb 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
Diagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers Owen Thomas J. Corander 58 12 0 12 Dec 2019
Frequentist Consistency of Generalized Variational Inference Jeremias Knoblauch 66 11 0 10 Dec 2019
Equivariant online predictions of non-stationary time series K. Takanashi K. McAlinn 16 1 0 20 Nov 2019
Variational Predictive Information Bottleneck Alexander A. Alemi 61 18 0 23 Oct 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 186 75 0 29 Sep 2019
Correcting Predictions for Approximate Bayesian Inference Tomasz Kuśmierczyk J. Sakaya Arto Klami 60 10 0 11 Sep 2019
Elements of asymptotic theory with outer probability measures J. Houssineau Neil K. Chada E. Delande 17 6 0 12 Aug 2019
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 61 11 0 24 Jul 2019
Asymptotic normality, concentration, and coverage of generalized posteriors Jeffrey W. Miller 89 68 0 22 Jul 2019
Adaptive particle-based approximations of the Gibbs posterior for inverse problems Z. Zou S. Mukherjee Harbir Antil W. Aquino 51 6 0 02 Jul 2019
Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models Isaac Lavine Michael Lindon M. West AI4TS 75 22 0 15 Jun 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 138 111 0 21 May 2019
Robust Approximate Bayesian Inference with Synthetic Likelihood David T. Frazier Christopher C. Drovandi 73 45 0 09 Apr 2019
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models Yuqi Gu Gongjun Xu 46 24 0 08 Apr 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
Bayesian inference using synthetic likelihood: asymptotics and adjustments David T. Frazier David J. Nott Christopher C. Drovandi Robert Kohn 88 41 0 13 Feb 2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap Edwin Fong Simon Lyddon Chris Holmes 184 36 0 08 Feb 2019
Gibbs posterior convergence and the thermodynamic formalism K. Mcgoff S. Mukherjee A. Nobel 81 10 0 24 Jan 2019
A Modern Retrospective on Probabilistic Numerics Chris J. Oates T. Sullivan AI4CE 101 64 0 14 Jan 2019
Multilevel Monte Carlo Acceleration of Seismic Wave Propagation under Uncertainty M. Ballesio Joakim Beck Anamika Pandey L. Parisi E. von Schwerin Raúl Tempone 11 12 0 03 Oct 2018
Nonparametric learning from Bayesian models with randomized objective functions Simon Lyddon S. Walker C. C. Holmes OOD 127 48 0 29 Jun 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$ -Divergences Jeremias Knoblauch Jack Jewson Theodoros Damoulas 78 58 0 06 Jun 2018
Principles of Bayesian Inference using General Divergence Criteria Jack Jewson Jim Q. Smith Chris Holmes 82 88 0 26 Feb 2018
Composite Gaussian Processes: Scalable Computation and Performance Analysis Xiuming Liu Dave Zachariah Edith C.H. Ngai 23 0 0 31 Jan 2018
Robust Bayes-Like Estimation: Rho-Bayes estimation Y. Baraud Lucien Birgé 72 4 0 22 Nov 2017
$α$ -Variational Inference with Statistical Guarantees Yun Yang D. Pati A. Bhattacharya 61 25 0 09 Oct 2017
General Bayesian Updating and the Loss-Likelihood Bootstrap Simon Lyddon Chris Holmes S. Walker 142 122 0 22 Sep 2017
Fast calibrated additive quantile regression Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 79 198 0 11 Jul 2017
Kinetic energy choice in Hamiltonian/hybrid Monte Carlo Samuel Livingstone Michael F Faulkner Gareth O. Roberts 88 45 0 08 Jun 2017
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods Akihiko Nishimura David B. Dunson Jianfeng Lu 57 2 0 23 May 2017
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 122 166 0 13 Feb 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 121 110 0 03 Nov 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 121 184 0 27 May 2016
Communication-Efficient Distributed Statistical Inference Michael I. Jordan Jason D. Lee Yun Yang 73 19 0 25 May 2016
Pseudo-Bayesian Quantum Tomography with Rank-adaptation The Tien Mai Pierre Alquier 70 27 0 19 May 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 227 73 0 01 May 2016
Data-driven priors and their posterior concentration rates Ryan Martin S. Walker 58 9 0 19 Apr 2016
Some comments about James Watson's and Chris Holmes' "Approximate Models and Robust Decisions": Nonparametric Bayesian clay for robust decision bricks Christian P. Robert Judith Rousseau AAML 52 1 0 30 Mar 2016
An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization Pierre Alquier Benjamin Guedj 140 17 0 06 Jan 2016
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 161 53 0 03 Dec 2015