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"Interpretable machine learning for heterogeneous treatment effect ..."

Kyrylo Medianovskyi et al. (2023)

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DOI: 10.1016/J.PROCS.2023.10.207

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-04

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  dblp key:
  - conf/kes/MedianovskyiMLY23
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  - https://dblp.org/rec/conf/kes/MedianovskyiMLY23
Kyrylo Medianovskyi, Aidas Malakauskas, Ausrine Lakstutiene, Sadok Ben Yahia:
Interpretable machine learning for heterogeneous treatment effect estimators with Double ML: a case of access to credit for SMEs. KES 2023: 2163-2172

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