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Likelihood-ratio-based confidence intervals for neural networks

Likelihood-ratio-based confidence intervals for neural networks

4 August 2023
Laurens Sluijterman
Eric Cator
Tom Heskes
    UQCV
ArXivPDFHTML

Papers citing "Likelihood-ratio-based confidence intervals for neural networks"

3 / 3 papers shown
Title
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Laurens Sluijterman
Eric Cator
Tom Heskes
BDL
UQCV
FedML
16
2
0
22 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
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
249
9,134
0
06 Jun 2015
1