18 citations · 19 across the 2 of their papers we have counts for
5 papers
Shapley values for feature selection: The good, the bad, and the axioms
Daniel Fryer, Inga Strümke, Hien Nguyen
The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four "favourable and fair" axio…
SARGDV: Efficient identification of groundwater-dependent vegetation using synthetic aperture radar
Mason Terrett, Daniel Fryer, Tanya Doody +2
Groundwater depletion impacts the sustainability of numerous groundwater-dependent vegetation (GDV) globally, placing significant stress on their capacity to provide environmental…
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
Daniel Vidali Fryer, Inga Strümke, Hien Nguyen
Shapley values have become increasingly popular in the machine learning literature thanks to their attractive axiomatisation, flexibility, and uniqueness in satisfying certain noti…
Shapley value confidence intervals for attributing variance explained
Daniel Fryer, Inga Strumke, Hien Nguyen
The coefficient of determination, the , is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this exp…
On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables
Julyan Arbel, Olivier Marchal, Hien D. Nguyen
We investigate the sub-Gaussian property for almost surely bounded random variables. If sub-Gaussianity per se is de facto ensured by the bounded support of said random variables,…