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

Interested in learning #causalML for policy evaluation/learning?
I consolidated my teaching material from different courses for Master and PhD Economics students. Result:
- 10 slide decks
- 22 R notebooks
See https://github.com/MCKnaus/causalML-teaching and thread below

Causal Christmas Tree Challenge: Draw sth with two potential outcome functions.
I drew a christmas tree and passed the task to my #causalML students @unitübingen@bawü.social as assignment.
Can you eyeball which implied CATE looks like batman? If not, check the notebook https://mcknaus.github.io/assets/cctc/Causal_Christmas_Tree_Challenge2022.html

#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

Headed to #NeurIPS2022 and looking forward to catching up with folks on #causality #causalml #causalinference. I'll be around Tue-Sat, msg or email if you'd like to chat

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

#introduction

Hello folks, I'm a researcher at Microsoft Research, where my interests span #causalinference, #ml, and AI's implications for society. Most of my projects today are on new #causalml methods and their applications in a variety of domains. This includes open-source efforts to build an ecosystem for causal ml with our PyWhy/DoWhy libraries. I also have a lot of fun collaborating on social computing / computational social science questions of various kinds.

Nice to see folks here! 👋

We’re organising a #meeting for #causalinf and #envsci folk in the UK in December supported by Cambridge Accelerate. Please see http://www.cmes.info/ for further details and https://www.c2d3.cam.ac.uk/events/causal-methods-environmental-science-cmes to sign up. #ml #causalml

Hey folks interested in #causality , we just posted an internship opening in our team. Please share with others!

https://careers.microsoft.com/us/en/job/1486835/Research-Intern-Causal-Machine-Learning

#causalml #causal #ai #internship #causalmastadon (maybe that last tag needs work)

RT @emrek@twitter.com

We are recruiting research interns in causal machine learning, causal RL, causal discovery, causal inference, counterfactual reasoning, and related topics. Come join us at @MSFTResearch@twitter.com Reach out with any questions! #causaltwitter #causalml https://careers.microsoft.com/us/en/job/1188673/Research-Intern-Causal-Machine-Learning

🐦🔗: https://twitter.com/emrek/status/1450554552801894402