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SUMMARY:Hidden Confounding: How Time and Experiments Help - Jonas Peters (
 ETH Zürich)
DTSTART:20260122T090000Z
DTEND:20260122T094500Z
UID:TALK241816@talks.cam.ac.uk
DESCRIPTION:Causal models help us predict how a real-world system reacts u
 nderactive perturbations. In many applications\, however\, causal modelsca
 nnot be derived from first principles and instead need to be learnedfrom d
 ata. This is particularly challenging if the system exhibitshidden confoun
 ding\, i.e.\, some of the causally relevant variables areunobserved. In th
 is talk\, we discuss strategies for dealing with hiddenconfounding under s
 uitable assumptions\, such as access to time-dependentdata or observations
  collected under different experimental conditions.
LOCATION:Seminar Room 1\, Newton Institute
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