#causalml — Public Fediverse posts

I just made my first PR on an #OpenSource project. Ever. Why did that take so long? IDK - I guess all the projects I worked with had everything I needed, and I was too busy to volunteer my time for something I didn't need. The PR is just a small suggestion to improve memory performance in #EconML (#causalml) - we'll see what the repo maintainers think of my hackery, haha...

#CausalML update - I am now fitting my first #CausalForest on real data!

Does anyone have advice on the most important #hyperparameters (After the # of trees & tree depth.)

I'm working on large imbalanced data sets and a large number of treatment variables, so it's not like anything you see in the economics literature. 🤔 #ML #AI #causal

Hi! #introduction by paper

Do you 👍 #causalML to estimate CATEs? Me too 🤓

With Phillip Heiler, I take a step back and ask what CATEs actually mean if a 0/1 "treatment" is itself heterogeneous (binarized multi trmt or multi trmt versions).

2 new features of a 1yo paper:

You 👍 intution on #causalinference?
😀-based intro to the issue https://t.co/WkDIf9HxyN

You 👍 #econometrics theory?
Updated #DoubleML theory allows no. of trmts -> ∞ -> extreme pscores (limited overlap) https://arxiv.org/abs/2110.01427