30 citations · 48 across the 7 of their papers we have counts for
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cs.LG2020★ 2 cited
A Semiparametric Approach to Interpretable Machine Learning
Numair Sani, Jaron Lee, Razieh Nabi +1
Black box models in machine learning have demonstrated excellent predictive performance in complex problems and high-dimensional settings. However, their lack of transparency and i…
cs.LG2020★ 2 cited
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani, Daniel Malinsky, Ilya Shpitser
Causal approaches to post-hoc explainability for black-box prediction models (e.g., deep neural networks trained on image pixel data) have become increasingly popular. However, exi…