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Qualitative Robustness in Bayesian Inference

Qualitative Robustness in Bayesian Inference

14 November 2014
H. Owhadi
C. Scovel
ArXivPDFHTML

Papers citing "Qualitative Robustness in Bayesian Inference"

17 / 17 papers shown
Title
Optimization-based frequentist confidence intervals for functionals in
  constrained inverse problems: Resolving the Burrus conjecture
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
13
0
0
03 Oct 2023
Uncertainty Quantification of the 4th kind; optimal posterior
  accuracy-uncertainty tradeoff with the minimum enclosing ball
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
15
7
0
24 Aug 2021
Decision Theoretic Bootstrapping
Decision Theoretic Bootstrapping
P. Tavallali
Hamed Hamze Bajgiran
Danial Esaid
H. Owhadi
11
0
0
18 Mar 2021
Do ideas have shape? Idea registration as the continuous limit of
  artificial neural networks
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks
H. Owhadi
82
14
0
10 Aug 2020
Learning dynamical systems from data: a simple cross-validation
  perspective
Learning dynamical systems from data: a simple cross-validation perspective
B. Hamzi
H. Owhadi
8
39
0
09 Jul 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust
  and Standard Models
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
30
64
0
11 Feb 2020
Kernel Flows: from learning kernels from data into the abyss
Kernel Flows: from learning kernels from data into the abyss
H. Owhadi
G. Yoo
18
88
0
13 Aug 2018
Random forward models and log-likelihoods in Bayesian inverse problems
Random forward models and log-likelihoods in Bayesian inverse problems
H. Lie
T. Sullivan
A. Teckentrup
19
19
0
15 Dec 2017
General Robust Bayes Pseudo-Posterior: Exponential Convergence results
  with Applications
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications
A. Ghosh
Tuhin Majumder
A. Basu
15
8
0
31 Aug 2017
Gamblets for opening the complexity-bottleneck of implicit schemes for
  hyperbolic and parabolic ODEs/PDEs with rough coefficients
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients
H. Owhadi
Lei Zhang
AI4CE
13
69
0
24 Jun 2016
Well-posed Bayesian inverse problems and heavy-tailed stable
  quasi-Banach space priors
Well-posed Bayesian inverse problems and heavy-tailed stable quasi-Banach space priors
T. Sullivan
12
41
0
19 May 2016
Towards Machine Wald
Towards Machine Wald
H. Owhadi
C. Scovel
TPM
20
42
0
10 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Gaussian Approximation of General Nonparametric Posterior Distributions
Gaussian Approximation of General Nonparametric Posterior Distributions
Zuofeng Shang
Guang Cheng
31
4
0
13 Nov 2014
Bayesian Numerical Homogenization
Bayesian Numerical Homogenization
H. Owhadi
28
234
0
25 Jun 2014
On the Brittleness of Bayesian Inference
On the Brittleness of Bayesian Inference
H. Owhadi
C. Scovel
T. Sullivan
31
68
0
28 Aug 2013
Brittleness of Bayesian Inference Under Finite Information in a
  Continuous World
Brittleness of Bayesian Inference Under Finite Information in a Continuous World
H. Owhadi
C. Scovel
T. Sullivan
48
58
0
24 Apr 2013
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