Interpretable Counterfactual Explanations Guided by Prototypes
We propose a fast, model agnostic method for finding interpretable counterfactual explanations of classifier predictions by using class prototypes. We show that class prototypes, obtained using either an encoder or through class specific k-d trees, significantly speed up the search for counterfactua...
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Published in | Machine Learning and Knowledge Discovery in Databases. Research Track Vol. 12976; pp. 650 - 665 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2021
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 3030865193 9783030865191 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-030-86520-7_40 |
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