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cs.LG2024
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
Vibhhu Sharma, Bryan Wilder
Machine learning is increasingly used to select which individuals receive limited-resource interventions in domains such as human services, education, development, and more. Howeve…
cs.LG2024
Accounting for Missing Covariates in Heterogeneous Treatment Estimation
Khurram Yamin, Vibhhu Sharma, Ed Kennedy +1
Many applications of causal inference require using treatment effects estimated on a study population to make decisions in a separate target population. We consider the challenging…
cs.LG2024
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
Vibhhu Sharma, Shantanu Gupta, Nil-Jana Akpinar +2
As recommender systems become widely deployed in different domains, they increasingly influence their users' beliefs and preferences. Auditing recommender systems is crucial as it…