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News/MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
arxiv
PublishedJuly 28, 2026 at 4:00 AM

MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback

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arXiv:2604.23107v2 Announce Type: replace-cross Abstract: Causal effect estimation from observational data requires careful adjustment for confounding. Classical estimators such as inverse probability weighting and augmented inverse probability weighting can perform well under favorable model specif

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