Author

Dwaipayan Saha

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#machine learning Preprint Oct 2022

Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects

We propose a generalization of the synthetic control methods to the setting with dynamic treatment effects, in which each unit receives multiple treatments sequentially, according to an adaptive policy that depends on a latent, endogenously time-varying confounding state. Under a low-rank latent factor model assumption...

Anish Agarwal, Sukjin Han, Dwaipayan Saha et al. · 3 citations

#machine learning Preprint Oct 2025

One Pipeline, Many Transformers: Pattern-Specific Imputation Specialists for Tabular Missing Data

A single pre-training pipeline that builds transformer-based imputation specialists through three components: an entry-wise featurization that recasts imputation as supervised prediction over row--column context, a synthetic data generator with pluggable missingness modules, and prior-data fitting on millions of synthe...

Jacob Feitelberg, Dwaipayan Saha, Kyuseong Choi et al. · 2 citations · ⚡1