Looking superficially, neither really seems to be doing causal structure discovery. Causal ML roughly speaking seems to be doing various form of multivariate regression, whereas Pyro seems to be fitting Bayesian networks. Both of these goals require assumptions from causal structure discovery, but they are not in themselves examples of causal structure discovery.
Looking superficially, neither really seems to be doing causal structure discovery. Causal ML roughly speaking seems to be doing various form of multivariate regression, whereas Pyro seems to be fitting Bayesian networks. Both of these goals require assumptions from causal structure discovery, but they are not in themselves examples of causal structure discovery.