48 citations · 79 across the 22 of their papers we have counts for
3 papers · 1 filter
SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
Timo Heiß, Julia Herbinger, Bernd Bischl +1
Feature interactions drive much of the predictive power of machine learning models, yet existing explanation methods only detect and quantify interactions without revealing their f…
rush: Scalable Asynchronous Distributed Computing via Shared State in R
Marc Becker, Bernd Bischl
Many algorithms in statistics and machine learning can be parallelized in an asynchronous manner where workers need to communicate through shared state rather than execute independ…
ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation
David Rundel, Fabian Fumagalli, Maximilian Muschalik +2
Shapley values are a principled attribution measure widely used in interpretable machine learning, but their exact computation scales exponentially with the number of players, moti…