3 papers
cs.AI2026
IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
Ivaxi Sheth, Zhijing Jin, Bryan Wilder +2
In the presence of confounding between an endogenous variable and the outcome, instrumental variables (IVs) are used to isolate the causal effect of the endogenous variable. Identi…
cs.LG2025
Learning treatment effects while treating those in need
Bryan Wilder, Pim Welle
Many social programs attempt to allocate scarce resources to people with the greatest need. Indeed, public services increasingly use algorithmic risk assessments motivated by this…
cs.LG2025
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…