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cs.LG2025
Latent Variable Modeling for Robust Causal Effect Estimation
Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki +1
Latent variable models provide a powerful framework for incorporating and inferring unobserved factors in observational data. In causal inference, they help account for hidden fact…
cs.LG2025
Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks
Tomu Hirata, Undral Byambadalai, Tatsushi Oka +2
We propose a novel multi-task neural network approach for estimating distributional treatment effects (DTE) in randomized experiments. While DTE provides more granular insights int…