Emergent Mind
On the computation of counterfactual explanations -- A survey
(1911.07749)
Published Nov 15, 2019
in
cs.LG
,
cs.AI
,
and
stat.ML
Abstract
Due to the increasing use of machine learning in practice it becomes more and more important to be able to explain the prediction and behavior of machine learning models. An instance of explanations are counterfactual explanations which provide an intuitive and useful explanations of machine learning models. In this survey we review model-specific methods for efficiently computing counterfactual explanations of many different machine learning models and propose methods for models that have not been considered in literature so far.
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