AI RESEARCH
On the Meta-Design of Allocation Problems
arXiv CS.LG
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ArXi:2602.08786v4 Announce Type: replace-cross There is an extensive literature that studies how to find optimal policies in resource allocation problems, taking the underlying design parameters that define the allocation, such as what data is collected, how many people can be served, and quality of service as fixed constraints. Yet, from a planner's perspective, these design parameters are themselves optimization variables that are just as important in determining overall welfare as selecting the optimal targeting rule for a given set of constraints.