66 citations · 71 across the 10 of their papers we have counts for
3 papers · 1 filter
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Annabelle Redelmeier, Martin Jullum, Kjersti Aas +1
We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, a…
Statistical embedding: Beyond principal components
Dag Tjøstheim, Martin Jullum, Anders Løland
There has been an intense recent activity in embedding of very high dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We su…
Explaining predictive models using Shapley values and non-parametric vine copulas
Kjersti Aas, Thomas Nagler, Martin Jullum +1
The original development of Shapley values for prediction explanation relied on the assumption that the features being described were independent. If the features in reality are de…