1min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

CHAPTER

Is There a Causal Graph?

factorizing tin here is equivalent to drawing the causal graph. And yoyou generally assume that these causographs are sparse, because, like tis, this whole assumption of, i change one thing, that's going to influence the two next things,. and then there'sno direct so for example, if there's rain, then that will cause my roof to be wet - but we don't need an arrow from rain to water the drain any more. There is no additional causal effect from the rain, because we we know the rain is not going to run round or go into the drain from the bottom without first hitting the roof.

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