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Learning to Fluctuate: Statistical Foundations for Causal Tabular Pretraining

arXiv:2609.26290v1 Announce Type: new Abstract: Causal tabular foundation models amortize effect estimation across synthetic mechanisms, but latent-effect supervision rewards posterior shrinkage instead of directly encoding the repeated-sample response needed in a fixed deployment population. We in…

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  1. 2026-09-23 04:00 · arXiv stat.ML
    Learning to Fluctuate: Statistical Foundations for Causal Tabular Pretraining

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