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Robust Uncertainty Quantification Using Conformalised Monte Carlo
  Prediction

Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction

18 August 2023
Daniel Bethell
Simos Gerasimou
R. Calinescu
ArXivPDFHTML

Papers citing "Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction"

4 / 4 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
158
0
0
04 May 2025
Uncertainty quantification for probabilistic machine learning in earth
  observation using conformal prediction
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
34
14
0
12 Jan 2024
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
276
5,675
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
285
9,145
0
06 Jun 2015
1