[ssivark]

Thanks for the links here and above; will take a look.

> calibrated and robust uncertainty estimates NOT low quality and uncalibrated uncertainties estimates.

Could you explain what you mean by “calibrated” and briefly summarize the essential idea behind what allows the learning of robust uncertainty estimates, if not a causal understanding?

If you haven’t already, look up work by Scholkopf, Janzing , Peters and co (over the last decade) for a justification of why causal reasoning is exactly what you want if you want to generalize across covariant earth/dataset shift (which is basically what the Google blog post is about).