Author

Trung-Dung Hoang

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#machine learning Preprint Sep 2026

Learning Causal Normalizing Flows from Incomplete Data via Observed-Data Likelihood

Causal Normalizing Flows (CNFs) enable causal inference from observational data given the causal structure, but they assume fully observed training data. We introduce MissCNF, which trains CNFs directly on incomplete data by maximizing the marginal likelihood of each partially observed sample, without discarding rows o...

Trung-Dung Hoang, Alceu Bissoto, Tim Flühmann et al. · 0 citations

#machine learning Preprint Sep 2026

Source Distribution Estimation by Posterior Averaging

This work improves on existing fixed surrogate approaches and on iterated variants of each, most clearly on Lotka--Volterra, where no baseline falls below 0.96 data-space C2ST while the methods reach 0.64-0.68 in three of four initial-prior settings.

Trung-Dung Hoang, Lisa M. Koch · 0 citations