Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It

11 December 2014

Papers citing "Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It"

48 / 148 papers shown

Title
Uncertainty quantification using martingales for misspecified Gaussian processes Willie Neiswanger Aaditya Ramdas UQCV 14 14 0 12 Jun 2020
Inject Machine Learning into Significance Test for Misspecified Linear Models Jiaye Teng Yang Yuan 14 2 0 04 Jun 2020
Amortized Bayesian model comparison with evidential deep learning Stefan T. Radev Marco D’Alessandro U. Mertens A. Voss Ullrich Kothe Paul-Christian Bürkner BDL 25 34 0 22 Apr 2020
Practical calibration of the temperature parameter in Gibbs posteriors Lucie Perrotta 18 3 0 22 Apr 2020
Direct loss minimization algorithms for sparse Gaussian processes Yadi Wei Rishit Sheth Roni Khardon 21 13 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 14 27 0 15 Mar 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 642 0 20 Feb 2020
Gibbs posterior inference on multivariate quantiles Indrabati Bhattacharya Ryan Martin 31 20 0 03 Feb 2020
Confidence and discoveries with e-values V. Vovk Ruodu Wang 22 20 0 31 Dec 2019
Universal Inference Larry A. Wasserman Aaditya Ramdas Sivaraman Balakrishnan 35 145 0 24 Dec 2019
Learning under Model Misspecification: Applications to Variational and Ensemble methods A. Masegosa 6 1 0 18 Dec 2019
Robust Inference and Model Criticism Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller 6 15 0 15 Dec 2019
Diagnosing model misspecification and performing generalized Bayes' updates via probabilistic classifiers Owen Thomas J. Corander 19 12 0 12 Dec 2019
Frequentist Consistency of Generalized Variational Inference Jeremias Knoblauch 11 11 0 10 Dec 2019
On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up Tuhin Majumder A. Basu A. Ghosh 11 0 0 27 Nov 2019
Safe-Bayesian Generalized Linear Regression R. D. Heide A. Kirichenko Nishant A. Mehta Peter Grünwald 16 27 0 21 Oct 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 58 72 0 29 Sep 2019
Minimum Description Length Revisited Peter Grünwald Teemu Roos 20 64 0 21 Aug 2019
Convergence Rates of Variational Inference in Sparse Deep Learning Badr-Eddine Chérief-Abdellatif BDL 14 38 0 09 Aug 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 25 110 0 21 May 2019
A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif Pierre Alquier Mohammad Emtiyaz Khan BDL 23 25 0 08 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 39 105 0 03 Apr 2019
Empirical priors for prediction in sparse high-dimensional linear regression Ryan Martin Yiqi Tang 10 20 0 03 Mar 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 30 273 0 11 Feb 2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap Edwin Fong Simon Lyddon Chris Holmes 16 35 0 08 Feb 2019
Gibbs posterior convergence and the thermodynamic formalism K. Mcgoff S. Mukherjee A. Nobel 27 10 0 24 Jan 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 20 221 0 16 Jan 2019
Empirical priors and coverage of posterior credible sets in a sparse normal mean model Ryan Martin Bo Ning 37 18 0 05 Dec 2018
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 16 19 0 28 Oct 2018
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior Chang-rui Liu Yue Yang H. Bondell Ryan Martin 31 8 0 01 Oct 2018
Model Selection via the VC-Dimension Merlin Mpoudeu B. Clarke 14 3 0 15 Aug 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 41 52 0 14 May 2018
Empirical priors and posterior concentration in a piecewise polynomial sequence model Chang Liu Ryan Martin Weining Shen 11 6 0 11 Dec 2017
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications A. Ghosh Tuhin Majumder A. Basu 22 8 0 31 Aug 2017
Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification James Ridgway 29 8 0 19 Jul 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 29 121 0 28 Jun 2017
A Tutorial on Fisher Information A. Ly M. Marsman J. Verhagen R. Grasman E. Wagenmakers 22 251 0 02 May 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 38 336 0 06 Apr 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 40 108 0 03 Nov 2016
Tractable Bayesian variable selection: beyond normality D. Rossell F. Rubio 20 31 0 06 Sep 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 35 15 0 06 Aug 2016
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 25 181 0 27 May 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes Peter Grünwald Nishant A. Mehta 52 71 0 01 May 2016
Data-driven priors and their posterior concentration rates Ryan Martin S. Walker 16 9 0 19 Apr 2016
Safe Probability Peter Grünwald 19 20 0 06 Apr 2016
Fast rates in statistical and online learning T. Erven Peter Grünwald Nishant A. Mehta Mark D. Reid Robert C. Williamson 30 107 0 09 Jul 2015
Empirical Bayes posterior concentration in sparse high-dimensional linear models Ryan Martin Raymond Mess S. Walker 47 103 0 30 Jun 2014
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 114 59 0 05 Mar 2010