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Namrita Varshney

1 accepted papers

2026

Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles

ICLR 2026poster

Decision tree ensembles are widely used in critical domains, making robustness and sensitivity analysis essential to their trustworthiness. We study the feature sensitivity problem, which asks whether an ensemble is ``sensitive" to a specified subset of features - such as protected attributes- whose…

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