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Brittleness of Bayesian Inference Under Finite Information in a
  Continuous World

Brittleness of Bayesian Inference Under Finite Information in a Continuous World

24 April 2013
H. Owhadi
C. Scovel
T. Sullivan
ArXivPDFHTML

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

8 / 8 papers shown
Title
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
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
64
28
0
13 Sep 2021
Qualitative Robustness in Bayesian Inference
Qualitative Robustness in Bayesian Inference
H. Owhadi
C. Scovel
79
26
0
14 Nov 2014
Failure of Calibration is Typical
Failure of Calibration is Typical
G. Belot
39
8
0
20 Jun 2013
Brittleness of Bayesian inference and new Selberg formulas
Brittleness of Bayesian inference and new Selberg formulas
H. Owhadi
C. Scovel
82
28
0
26 Apr 2013
On convergence rates of Bayesian predictive densities and posterior
  distributions
On convergence rates of Bayesian predictive densities and posterior distributions
Ryan Martin
Liang Hong
50
5
0
29 Sep 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
111
147
0
19 Aug 2012
Optimal Uncertainty Quantification
Optimal Uncertainty Quantification
H. Owhadi
C. Scovel
T. Sullivan
Michael McKerns
M. Ortiz
102
124
0
02 Sep 2010
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
280
284
0
14 Aug 2007
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