Brittleness of Bayesian Inference Under Finite Information in a Continuous World

24 April 2013

Papers citing "Brittleness of Bayesian Inference Under Finite Information in a Continuous World"

11 / 11 papers shown

Title
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 28 42 0 09 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 32 28 0 13 Sep 2021
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 38 64 0 11 Feb 2020
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems Oliver J. Maclaren R. Nicholson 23 33 0 04 Apr 2019
A Modern Retrospective on Probabilistic Numerics Chris J. Oates T. Sullivan AI4CE 21 64 0 14 Jan 2019
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 18 88 0 13 Aug 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 26 607 0 28 Nov 2017
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients H. Owhadi Lei Zhang AI4CE 23 69 0 24 Jun 2016
Towards Machine Wald H. Owhadi C. Scovel TPM 28 42 0 10 Aug 2015
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 53 26 0 14 Nov 2014
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 36 4 0 13 Nov 2014