3 papers
cs.HC2025
Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers
Caroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang +3
Artificial intelligence researchers have proposed various data-driven algorithms to improve the processes that match individuals experiencing homelessness to scarce housing resourc…
math.OC2023
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
Bill Tang, Çağıl Koçyiğit, Eric Rice +1
We study the problem of allocating scarce societal resources of different types (e.g., permanent housing, deceased donor kidneys for transplantation, ventilators) to heterogeneous…
cs.LG2022
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery
Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud +1
We study the problem of learning, from observational data, fair and interpretable policies that effectively match heterogeneous individuals to scarce resources of different types.…