arxiv
PublishedJuly 18, 2026 at 4:00 AM
—neutral
Learning Who to Treat When Treatment is Missing
Publisher summary· verbatim
arXiv:2607.14346v1 Announce Type: new Abstract: Policy learning methods are increasingly used to inform treatment allocation under budget constraints. Most proposed methods assume complete treatment data, yet applications frequently suffer from missingness that can bias estimates and lead to subopti
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Originally published on arxiv ↗