ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

arXiv:2403.10766v1 Announce Type: new
Abstract: Inferring unbiased treatment effects has received widespread attention in the machine learning community. In recent years, our community has proposed numerous solutions in standard settings, high-dimensional treatment settings, and even longitudinal settings. While very diverse, the solution has mostly relied on neural networks for inference and simultaneous correction of assignment bias. New approaches typically build on top of previous approaches by proposing new (or refined) architectures and learning algorithms. However, the end result -- a …

abstract arxiv attention community cs.lg discovery diverse effects inference machine machine learning networks neural networks solution solutions standard stat.me treatment type unbiased