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Towards Representation Learning for Weighting Problems in Design-Based Causal Inference

arXiv:2409.16407v2 Announce Type: replace-cross Abstract: Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights ty...

🔗 Read more: https://arxiv.org/abs/2409.16407

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