CATE Estimation with Causal Effect Variational Autoencoders

In this notebook, we demonstrate how to estimate Conditional Average Treatment Effects&#xA;(CATE) using a Causal Effect Variational Autoencoder (CEVAE) by implementing an example&#xA;from scratch in NumPyro . This approach is particularly useful when we suspect&#xA;the presence of unobserved confounders that affect both treatment assignment and outcomes. &#xA; Disclaimer : I am not an expert in…