Jeffrey Näf and I have a new preprint available on ArXiv, Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest. We took some of Jeff’s previous work on building distributional random forest’s and adapted it to the case of estimating kernel treatment effects. Jeff contributed the heavy-duty theory and I worked on the coding and simulation studies – a good partnership!