30 citations · 48 across the 7 of their papers we have counts for
7 papers
Tightening Bounds on Probabilities of Causation By Merging Datasets
Numair Sani, Atalanti A. Mastakouri
Probabilities of Causation (PoC) play a fundamental role in decision-making in law, health care and public policy. Nevertheless, their point identification is challenging, requirin…
Bounding probabilities of causation through the causal marginal problem
Numair Sani, Atalanti A. Mastakouri, Dominik Janzing
Probabilities of Causation play a fundamental role in decision making in law, health care and public policy. Nevertheless, their point identification is challenging, requiring stro…
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan Drenkow, Numair Sani, Ilya Shpitser +1
Deep neural networks for computer vision are deployed in increasingly safety-critical and socially-impactful applications, motivating the need to close the gap in model performance…
Multiply Robust Causal Mediation Analysis with Continuous Treatments
Yizhen Xu, AmirEmad Ghassami, Numair Sani +1
In many applications, researchers are interested in the direct and indirect causal effects of a treatment or exposure on an outcome of interest. Mediation analysis offers a rigorou…
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…
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…
Understanding Illicit Drug Use Behaviors by Mining Social Media
Yiheng Zhou, Numair Sani, Chia-Kuei Lee +1
Drug use by people is on the rise and is of great interest to public health agencies and law enforcement agencies. As found by the National Survey on Drug Use and Health, 20 millio…