Yusuke Kano

Gradient-Based Causal Tree Ensembles: A Backbone Architecture for Heterogeneous Treatment Effects

Estimating Heterogeneous Treatment Effects (HTE) from observational data is essential in fields such as healthcare and policy-making, where randomized experiments are often impractical. While representation learning-based methods have shown promise, recent studies suggest that tree-based approaches …