Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War

Algorithmic decisions and recommendations are used in many high-stakes decision-making settings such as criminal justice, medicine, and public policy. We investigate whether it would have been possible to improve a security assessment algorithm employed during the Vietnam War, using outcomes measure...

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Bibliographische Detailangaben

Hauptverfasser:	Jia, Zeyang, Ben-Michael, Eli, Imai, Kosuke
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Applications
Online-Zugang:	Volltext bestellen
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