Nice links. I actually stopped following deep learning for a few years, and very recently started paying attention again as the new generation of probabilistic programming languages came along (I’m particularly impressed with pyro). Those tools are a major step forward for learning causal structure.
I’d also recommend this recent paper by Friston (the predictive processing guy). I might write up a review of it soonish; it’s a really nice piece of math/algorithm for learning causal structure, again using the same ML tools.
Nice links. I actually stopped following deep learning for a few years, and very recently started paying attention again as the new generation of probabilistic programming languages came along (I’m particularly impressed with pyro). Those tools are a major step forward for learning causal structure.
I’d also recommend this recent paper by Friston (the predictive processing guy). I might write up a review of it soonish; it’s a really nice piece of math/algorithm for learning causal structure, again using the same ML tools.