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Debiased Prior-Data Fitted Networks for Amortized Bayesian Semi-Parametric Inference

arXiv:2610.28314v1 Announce Type: new Abstract: Prior-data fitted networks (PFNs) have recently gained popularity as an end-to-end approach to amortized Bayesian inference. Yet, their statistical behavior for semi-parametric targets, such as means under missingness or causal effects, remains poorly…

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  1. 2026-10-21 04:00 · arXiv stat.ML
    Debiased Prior-Data Fitted Networks for Amortized Bayesian Semi-Parametric Inference

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