Author

Fei Wang

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#artificial intelligence Preprint Oct 2026

A Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation

Longitudinal causal effect estimation is complicated by time-varying confounding and treatment-confounder feedback loops. Existing methods generally require data-specific nuisance-model fitting, and many are tailored to prespecified treatment sequences or prediction horizons, leading to time-consuming computation at de...

Wen-Xin Chen, Kyra Gan, Ming Lu et al. · 0 citations

#machine learning Sep 2026

Federated Targeted Maximum Likelihood Estimation

The evidence behind a scientific or operational decision is often held by hospitals, banks, or registries that cannot pool individual observations. Cross-silo federated learning moves computation to the data and exchanges agreed summaries. Targeted maximum likelihood estimation (TMLE) refines a flexible initial fit, yi...

Di-Yang Li, Fei Wang, Kyra Gan · arXiv.org · 0 citations