Papers citing 'On the Brittleness of Bayesian Inference'

Title
Transient anisotropic kernel for probabilistic learning on manifolds Christian Soize Roger Ghanem 106 6 0 31 Jul 2024
Variance-based sensitivity of Bayesian inverse problems to the prior distributionInternational Journal for Uncertainty Quantification (IJUQ), 2023 John E. Darges A. Alexanderian P. Gremaud 98 3 0 27 Oct 2023
Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture Pau Batlle Pratik Patil Michael Stanley H. Owhadi Mikael Kuusela 269 3 0 03 Oct 2023
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics A. Garbuno-Iñigo T. Helin Franca Hoffmann Bamdad Hosseini 281 11 0 02 Mar 2023
Multiclass classification utilising an estimated algorithmic probability prior K. Dingle Pau Batlle H. Owhadi 136 4 0 14 Dec 2022
On the Sensitivity of Reward Inference to Misspecified Human ModelsInternational Conference on Learning Representations (ICLR), 2022 Joey Hong Kush S. Bhatia Anca Dragan 140 28 0 09 Dec 2022
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity SetsConference on Uncertainty in Artificial Intelligence (UAI), 2022 Jinwook Go T. Isaac 134 17 0 20 May 2022
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measuresComputational statistics (Zeitschrift) (CSZ), 2022 Christian Soize 143 6 0 06 May 2022
Bayesian inference in Epidemics: linear noise analysis S. Bronstein Stefan Engblom R. Marin 226 0 0 21 Mar 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraintsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Christian Soize 187 7 0 10 Feb 2022
Aggregation of Pareto optimal models Hamed Hamze Bajgiran H. Owhadi 38 1 0 08 Dec 2021
Uncertainty estimation under model misspecification in neural network regression Maria R. Cervera Rafael Dätwyler Francesco DÁngelo Hamza Keurti Benjamin Grewe Christian Henning 166 6 0 23 Nov 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 231 29 0 13 Sep 2021
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball Hamed Hamze Bajgiran P. Franch H. Owhadi Mostafa Samir C. Scovel Mahdy Shirdel Michael Stanley P. Tavallali 165 8 0 24 Aug 2021
Decision Theoretic BootstrappingInternational Journal for Uncertainty Quantification (IJUQ), 2021 P. Tavallali Hamed Hamze Bajgiran Danial Esaid H. Owhadi 168 0 0 18 Mar 2021
Parsimonious Inference J. Duersch Thomas A. Catanach UQCV 107 4 0 03 Mar 2021
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks H. Owhadi 366 18 0 10 Aug 2020
Learning dynamical systems from data: a simple cross-validation perspective B. Hamzi H. Owhadi 158 50 0 09 Jul 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard ModelsInternational Conference on Machine Learning (ICML), 2020 Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 237 66 0 11 Feb 2020
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 176 42 0 11 Nov 2019
On the Local Lipschitz Stability of Bayesian Inverse Problems Björn Sprungk 163 0 0 17 Jun 2019
Robust Regression for Safe Exploration in ControlConference on Learning for Dynamics & Control (L4DC), 2019 Anqi Liu Guanya Shi Soon-Jo Chung Anima Anandkumar Yisong Yue 257 63 0 13 Jun 2019
Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and ConsistencySMAI Journal of Computational Mathematics (SMAI-JCM), 2019 Matthew M. Dunlop T. Helin Andrew M. Stuart 230 22 0 10 May 2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems Oliver J. Maclaren R. Nicholson 329 39 0 04 Apr 2019
Rejoinder for "Probabilistic Integration: A Role in Statistical Computation?" François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 116 10 0 26 Nov 2018
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 218 95 0 13 Aug 2018
Bayesian parameter identification in Cahn-Hilliard models for biological growth Christian Kahle K. F. Lam J. Latz E. Ullmann 260 22 0 08 May 2018
Well-posedness of Bayesian inverse problems in quasi-Banach spaces with stable priors Timothy Sullivan 148 4 0 16 Oct 2017
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications A. Ghosh Tuhin Majumder A. Basu 250 9 0 31 Aug 2017
Uncertainty quantification in graph-based classification of high dimensional data Andrea L. Bertozzi Xiyang Luo Andrew M. Stuart K. Zygalakis UQCV 204 21 0 26 Mar 2017
Bayesian Probabilistic Numerical MethodsSIAM Review (SIAM Rev.), 2017 Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 287 174 0 13 Feb 2017
Bayes factor consistency S. Chib Todd A. Kuffner 204 26 0 01 Jul 2016
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficientsJournal of Computational Physics (JCP), 2016 H. Owhadi Lei Zhang AI4CE 163 73 0 24 Jun 2016
Towards Machine Wald H. Owhadi C. Scovel TPM 244 42 0 10 Aug 2015
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games H. Owhadi 375 179 0 11 Mar 2015
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 265 26 0 14 Nov 2014
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 374 4 0 13 Nov 2014
Bayesian Numerical HomogenizationMultiscale Modeling & simulation (MMS), 2014 H. Owhadi 244 247 0 25 Jun 2014