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On the Brittleness of Bayesian Inference

28 August 2013

Papers citing "On the Brittleness of Bayesian Inference"

25 / 25 papers shown

Title
Multiclass classification utilising an estimated algorithmic probability prior K. Dingle Pau Batlle H. Owhadi 64 4 0 14 Dec 2022
On the Sensitivity of Reward Inference to Misspecified Human Models Joey Hong Kush S. Bhatia Anca Dragan 52 26 0 09 Dec 2022
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets Jinwook Go T. Isaac 58 12 0 20 May 2022
Bayesian inference in Epidemics: linear noise analysis S. Bronstein Stefan Engblom R. Marin 52 0 0 21 Mar 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints Christian Soize 51 6 0 10 Feb 2022
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 105 28 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 45 7 0 24 Aug 2021
Parsimonious Inference J. Duersch Thomas A. Catanach UQCV 14 4 0 03 Mar 2021
Learning dynamical systems from data: a simple cross-validation perspective B. Hamzi H. Owhadi 78 41 0 09 Jul 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 82 64 0 11 Feb 2020
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 69 40 0 11 Nov 2019
On the Local Lipschitz Stability of Bayesian Inverse Problems Björn Sprungk 37 0 0 17 Jun 2019
Robust Regression for Safe Exploration in Control Anqi Liu Guanya Shi Soon-Jo Chung Anima Anandkumar Yisong Yue 92 60 0 13 Jun 2019
Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency Matthew M. Dunlop T. Helin Andrew M. Stuart 80 18 0 10 May 2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems Oliver J. Maclaren R. Nicholson 64 36 0 04 Apr 2019
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 110 90 0 13 Aug 2018
Bayesian parameter identification in Cahn-Hilliard models for biological growth Christian Kahle K. F. Lam J. Latz E. Ullmann 67 22 0 08 May 2018
Uncertainty quantification in graph-based classification of high dimensional data Andrea L. Bertozzi Xiyang Luo Andrew M. Stuart K. Zygalakis UQCV 81 21 0 26 Mar 2017
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 106 166 0 13 Feb 2017
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients H. Owhadi Lei Zhang AI4CE 74 71 0 24 Jun 2016
Towards Machine Wald H. Owhadi C. Scovel TPM 77 42 0 10 Aug 2015
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games H. Owhadi 91 169 0 11 Mar 2015
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 141 26 0 14 Nov 2014
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 79 4 0 13 Nov 2014
Bayesian Numerical Homogenization H. Owhadi 109 236 0 25 Jun 2014