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Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models

Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models

Electronic Journal of Statistics (EJS), 2022
23 September 2022
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
ArXiv (abs)PDFHTML

Papers citing "Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models"

4 / 4 papers shown
Title
Wasserstein-Cramér-Rao Theory of Unbiased Estimation
Wasserstein-Cramér-Rao Theory of Unbiased Estimation
Nicolas García Trillos
Adam Quinn Jaffe
Bodhisattva Sen
65
0
0
10 Nov 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Marouane Il Idrissi
Agathe Fernandes Machado
Ewen Gallic
Arthur Charpentier
508
1
0
19 May 2025
Machine learning with data assimilation and uncertainty quantification
  for dynamical systems: a review
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a reviewIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Sibo Cheng
César Quilodrán-Casas
Said Ouala
A. Farchi
Che Liu
...
Weiping Ding
Wenhan Luo
A. Carrassi
Marc Bocquet
Rossella Arcucci
AI4CE
203
201
0
18 Mar 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1