38 citations · 99 across the 5 of their papers we have counts for
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cs.AI2020★ 31 cited
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur +1
Shapley values underlie one of the most popular model-agnostic methods within explainable artificial intelligence. These values are designed to attribute the difference between a m…
cs.AI2012★ 38 cited
A Bayesian Approach to Constraint Based Causal Inference
Tom Claassen, Tom Heskes
We target the problem of accuracy and robustness in causal inference from finite data sets. Some state-of-the-art algorithms produce clear output complete with solid theoretical gu…