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Lucile Ter-Minassian

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2401-17737
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  - https://dblp.org/rec/journals/corr/abs-2401-17737
Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Chris C. Holmes, Yishai Shimoni:
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation. CoRR abs/2401.17737 (2024)
[i3]
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  - journals/corr/abs-2402-00072
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Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes:
Explainable AI for survival analysis: a median-SHAP approach. CoRR abs/2402.00072 (2024)
2023
[c2]
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Lucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin J. Evans, Christopher C. Holmes:
PWSHAP: A Path-Wise Explanation Model for Targeted Variables. ICML 2023: 34054-34089
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  - journals/corr/abs-2306-14672
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Lucile Ter-Minassian, Oscar Clivio, Karla Diaz-Ordaz, Robin J. Evans, Chris C. Holmes:
PWSHAP: A Path-Wise Explanation Model for Targeted Variables. CoRR abs/2306.14672 (2023)
2021
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  - conf/nips/GhalebikesabiTD21
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Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C. Holmes:
On Locality of Local Explanation Models. NeurIPS 2021: 18395-18407
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  - journals/corr/abs-2106-14648
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Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla Diaz-Ordaz, Chris C. Holmes:
On Locality of Local Explanation Models. CoRR abs/2106.14648 (2021)

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