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Aleix Ruiz de Villa
@aleixrvr
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PhD in mathematical analysis. Data scientist. Causal Inference
Vila de Gracia, Barcelona
Joined February 2015
I'm very happy to announce that my book "Causal Inference for Data Science" has been published at @ManningBooks You will find it in Manning Early Access program, where a new chapter is published regularly every month. (1/4)
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RT @ManningBooks: 📣 Now in PRINT! 📣 Causal Inference for Data Science, by @aleixrvr 📚Understanding causality hel…
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RT @eliasbareinboim: There is a result in causal inference called the 'causal hierarchy theorem' (Thm. 27.1, , whic…
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@eliasbareinboim @analisereal @ccaballeroh10 Thanks, that clarifies a lot! Then, I'm re-learning again the basics of of CI 101: you cannot discover the laws of physics without making physical experiments
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@eliasbareinboim @analisereal @ccaballeroh10 Ah, ok! If I understood correctly, physical laws belong to rung 3 (because you need the explicit functional form of causal relationships)?
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@eliasbareinboim @analisereal @ccaballeroh10 Hope that clarifies something. Thanks anyway for the help!
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@ccaballeroh10 @analisereal @eliasbareinboim There is also the work of Jonas Peters et al. about using different environments with the same causal structure.
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@ccaballeroh10 @analisereal But , bseides intuition, we still need a formal proof that tells us whether we are right or wrong.
@analisereal That's a different question. Moreover it is a very interesting one. If you can conclude that you need additional assumptions (for instance causal ones) to make predictions OOD, then it is clear that current supervised learning techinques are limited to predict reality.
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@ccaballeroh10 @analisereal That's interesting. If you intervene, you are OOD. But is OOD always intervening? That would require a proof, right?
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