Susan Athey, "Machine Learning and Causal Inference for Policy Evaluation"

[@ibrahimsulaiman90]

Well done Professor Susan, Thank you Harvard

[@baomao139]

much easier to understand it than the original paper >_

[@NguyenQuangMartin]

She is really good at her explanation!

[@chockumail]

Really passionate presentation

[@RobertWF42]

I'm curious how causal trees compare with targeted maximum likelihood estimation developed by Mark van der Laan at Berkeley?

[@maddy2u]

Do you have a paper to look at?

[@juandrairdham3773]

thanks for uploading this!

[@Kevalshahprofile]

Are these slides accessible to the public?

[@stokeynathu8112]

Keval shah Sure,you are free to download those papers in her personl website

[@JohnDoe-kr9zh]

thanks for the upload!

[@JOHNSMITH-ve3rq]

Who is behind this camera? Please, please, just zoom out a bit so you don't have to constantly keep moving it. Very annoying and disruptive.

[@VainCape]

It was me, sorry. i'm only a teaching assistant. I'll do better next time.

[@italosayan4747]

"Running regressions in parallel" aka neural networks(?)

[@YazminAbat]

thanks for helping me notice :))

[@afafssaf925]

Yes, but note that after she said, "there is a better way of doing this" ;)

[@maddy2u]

No,it is literally several regressions independently trained in subsets or clusters of data , I think.