, 3 tweets, 2 min read Read on Twitter
1/ Communication between CI and ML folks will improve drastically if we can translate sentences such as: "Bottou trains his NN under conditions ABC" into sentences of the form: "Given the conditional probabilities P(y|x,do(z)...)". After all, what do we get from "training" if ..
2/ if not conditional probabilities, both observational and interventional. Another benefit for the translation: theorems of impossibility. CI has developed a theory that tells us if certain tasks can be accomplished given information in the form of probabilities P(y|x, do(z)...
3/3
We can use this theory to prevent disappointments from "training" schemes that lead to impossibilities. As far as I know, theories of what's possible or not possible were not developed (yet) for training schemes. Why not use what we have? eg,ucla.in/2Jc1kdD #Bookofwhy
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