Long-Term Orthogonal Learners
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Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects
arXiv:2604.00915v2 Announce Type: replace Abstract: Estimation of heterogeneous long-term treatment effects (HLTEs) is relevant for personalized decision-making in marketing, economics, and medicine, where short-term observational datasets are often combined with long-term observational datasets. However, HLTE estimation is challenging due to limited overlap in treatment assignments or in long-term outcomes for certain subpopulations, which can lead to unstable HLTE estimates with large...
Microsoft’s AI chief says superintelligence is near, but won’t take your job
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