#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

ShowWhy is a suite of no-code interfaces for performing data analysis using #causalML techniques and libraries https://github.com/microsoft/showwhy

#AI #CausalAI #github #microsoft

#DoWhy 0.9 includes some exciting new extensions and features, including better sensitivity analyses, new identification algorithms, and more. I'm particularly excited to see so many new contributors joining in on this release!

#causality #causalinf #causalml @causal

Lots of new folks joining today so maybe worth reposting:

Hello #causal folks. I haven't run into a list of #causal #causalinf #causality #causalml people on mastodon yet. I thought I'd start crowdsourcing.

Please share, edit, add yourself, etc. Thanks!

https://docs.google.com/spreadsheets/d/1EzIBxQebN_ulvZfcasvoxlues03T_hcFCrnZPsVzmaw/edit?usp=sharing

It was great to be at #NeurIPS2022 last week and catch up with so many friends and colleagues! Excited about the breadth of #causalML work there, including much work on #causality from our team at Microsoft Research.

I wanted to highlight a few in a brief thread:

Today at 4:30pm at the
@MSFTResearch
booth (#202) at #NeurIPS2022, Agrin Hilmkil and Cheng Zhang are demoing our open source Causal AI suite, including our new no-code interface, ShowWhy.

https://microsoft.com/en-us/research/video/introduction-to-showwhy-user-interfaces-for-causal-decision-making/

#causalml #causaltwitter #causalinference