Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
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2023
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Online Access: | https://link.springer.com/article/10.1007/s10994-022-06293-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347 |
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oai:localhost:PNK-73472023-03-30T09:07:07Z Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De, Toni Bruno, Lepri Andrea, Passerini interventions—sequences of actions black-box machine learning model CC BY Being able to provide counterfactual interventions—sequences of actions we would have had to take for a desirable outcome to happen—is essential to explain how to change an unfavourable decision by a black-box machine learning model (e.g., being denied a loan request). Existing solutions have mainly focused on generating feasible interventions without providing explanations of their rationale. Moreover, they need to solve a separate optimization problem for each user. 2023-03-30T09:07:07Z 2023-03-30T09:07:07Z 2023 Book https://link.springer.com/article/10.1007/s10994-022-06293-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347 vi application/pdf Springer |
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Vietnamese |
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interventions—sequences of actions black-box machine learning model |
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interventions—sequences of actions black-box machine learning model Giovanni De, Toni Bruno, Lepri Andrea, Passerini Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
description |
CC BY |
format |
Book |
author |
Giovanni De, Toni Bruno, Lepri Andrea, Passerini |
author_facet |
Giovanni De, Toni Bruno, Lepri Andrea, Passerini |
author_sort |
Giovanni De, Toni |
title |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
title_short |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
title_full |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
title_fullStr |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
title_full_unstemmed |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
title_sort |
synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s10994-022-06293-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7347 |
_version_ |
1761821915381497856 |
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8.891787 |