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SUMMARY:Causal Identification: Are We There Yet? - Prof. Negar Kiyavash\, 
 EPFL
DTSTART:20230517T130000Z
DTEND:20230517T140000Z
UID:TALK196225@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:We discuss causal identifiability\, the canonical problem of c
 ausal inference\, where the goal is to calculate the effect of intervening
  on subset of variables on an outcome variable of interest. We first visit
  the definition of the problem and note that it is necessary to add positi
 vity assumption of observational distribution to the original definition o
 f the problem as without such an assumption the rules of do-calculus and c
 onsequently the proposed algorithms in the field are not sound. After disc
 ussing state of the art and recent progress in the field\, we present some
  of the open problems and remaining challenges.\n
LOCATION:MR5\, CMS Pavilion A
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