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CAUSALITY FOR MACHINE LEARNING

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Nov 26 2019 Wouter van Amsterdam

Bernhard Scholkopf (@bschoelkopf) just published a single author paper titled "Causality for Machine Learning" (https://arxiv.org/abs/1911.10500); this should probably at the top of the reading list for many people interested in machine learning / AI; @yudapearl @eliasbareinboim
1 replies, 736 likes


Nov 26 2019 Judea Pearl

A very comprehensive, delightful and inspiring paper. Recommended to ALL, not just MANY ML/AI folks. Note also that @bschoelkopf does not perceive me as "polarizing the field" as suggested by @ylecun here: https://twitter.com/ylecun/status/1198319448320548865. SCM unifies, invites and educates. #Bookofwhy
6 replies, 338 likes


Nov 26 2019 Eric Topol

A big problem with #AI is that it hasn't read and couldn't understand @yudapearl's Book of Why. This easy to understand essay by @bschoelkopf (and inspired by Pearl) takes us through the gaps in ML thinking and reasoning, cause and effect https://arxiv.org/abs/1911.10500 @MPI_IS https://t.co/hSQg3PsNKN
5 replies, 190 likes


Nov 26 2019 Anirudh Goyal

This is probably the most succinct summary https://arxiv.org/abs/1911.10500 of various ways in which causality could be useful for machine learning by @bschoelkopf Highly recommended.
1 replies, 120 likes


Nov 26 2019 ML Review

Causality for Machine Learning By @bschoelkopf Mostly non-technical intro to key causal models and how they can contribute to resolving open ML problems like generalization across domains or "thinking" (i.e., acting in an imagined space) https://arxiv.org/abs/1911.10500 https://t.co/gEyuWTKLbi
0 replies, 113 likes


Nov 26 2019 Judea Pearl

There's much truth to what you're saying. The idea that there are theoretical impediments to ML methods is hard for ML folks to internalize.And repeated assurances that causal inference is just one aspect of what ML has been doing all along do not encourage them to try.#Bookofwhy
1 replies, 80 likes


Nov 27 2019 Kyle Cranmer

Bernhard Scholkopf (@bschoelkopf) will be speaking at our #NeurIPS2019 workshop on Machine Learning for Physical Sciences https://ml4physicalsciences.github.io
0 replies, 26 likes


Nov 26 2019 KordingLab

Scholkopf on how Pearl style causality is starting to touch machine learning. H/T @danilobzdok
0 replies, 21 likes


Nov 26 2019 Kostas Kamnitsas

Causality for Machine Learning. https://arxiv.org/abs/1911.10500 Tubingen at it again. (Keeps surprising me how such a small place gave rise to such a great research group. I keep wondering what's the recipe. @MPI_IS )
0 replies, 13 likes


Nov 28 2019 Complex Human

Causality for Machine Learning https://arxiv.org/abs/1911.10500
0 replies, 1 likes


Nov 26 2019 Nasim

A primer on the emerging connections between Causal Inference and Machine Learning, by @bschoelkopf: https://arxiv.org/abs/1911.10500
0 replies, 1 likes


Nov 26 2019 Danilo Bzdok

@KordingLab @TheColeLab @sweichwald @f2harrell
0 replies, 1 likes


Nov 26 2019 Juan Arévalo

A must read. The connection between #causality and #MachineLearning by @bschoelkopf https://arxiv.org/abs/1911.10500
0 replies, 1 likes


Dec 02 2019 Eric Topol

@pradeu Agree, Thomas. Casuality can't be emphasized enough. @yudapearl's book is my favorite source. And it's now coming up with #AI (that it can't) https://twitter.com/EricTopol/status/1199446511823679489
0 replies, 1 likes


Nov 27 2019 Paul S. Conyngham

Causality for Machine learning! read it at 👇 https://arxiv.org/pdf/1911.10500.pdf
0 replies, 1 likes


Nov 28 2019 Thread Reader App

@IntuitMachine Guten tag, you can read it here: Thread by @IntuitMachine: High time to read: "Causality for Machine Learning" http://arxiv.org/abs/1911.10500… by Bernhard… https://threadreaderapp.com/thread/1200051422018113542.html. See you soon. 🤖
0 replies, 1 likes


Nov 29 2019 Aaron Snoswell (薛嘉伦)

Today's #MachineLearning paper is @bschoelkopf's recent philosophical essay 'Causality for Machine Learning' (https://arxiv.org/pdf/1911.10500.pdf) Given an unlabelled scatter plot in arbitrary units, can you tell if X causes Y? Y causes X? There is a common unobserved causal factor? 1/3 https://t.co/qMrDLZRTZ9
1 replies, 1 likes


Nov 30 2019 Pawan Sasanka Ammanamanchi

https://arxiv.org/abs/1911.10500 Causality in Machine Learning.
0 replies, 1 likes


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