We study the problem of learning personalized decision policies from observational data while accounting for possible unobserved confounding. Previous approaches, which assume unconfoundedness, tha...

中文翻译：

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不可观测混杂下的极小极大最优策略学习

我们研究了从观察数据中学习个性化决策策略的问题，同时考虑了可能的未观察到的混淆。假设没有混淆的先前方法可能会...