Comments (2)
Hi,
Thanks for your message.
So the counterfactual training setup we used involves interventions on a single parent at once, that is, for each batch element we randomly select which parent we would like to randomly intervene on. This intervention is then used to compute all the counterfactual parents depending on the associated causal graph.
It is of course possible to intervene on more than one parent at once, although we didn't observe any advantage in doing so in our experiments.
Best,
Fabio
from causal-gen.
I see. thank you sir
from causal-gen.
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