43 citations · 143 across the 40 of their papers we have counts for
5 papers · 1 filter
Bridging Prediction and Intervention Problems in Social Systems
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou +32
Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals…
Fair Risk Minimization under Causal Path-Specific Effect Constraints
Razieh Nabi, David Benkeser
This paper introduces a framework for estimating fair optimal predictions using machine learning where the notion of fairness can be quantified using path-specific causal effects.…
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…
Estimation of Personalized Effects Associated With Causal Pathways
Razieh Nabi, Phyllis Kanki, Ilya Shpitser
The goal of personalized decision making is to map a unit's characteristics to an action tailored to maximize the expected outcome for that unit. Obtaining high-quality mappings of…
Learning Optimal Fair Policies
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Systematic discriminatory biases present in our society influence the way data is collected and stored, the way variables are defined, and the way scientific findings are put into…