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DTSTAMP:20250803T105234Z
DESCRIPTION:Machine learning for causal inference\n\nKonrad Kording\, Unive
 rsity of Pennsylvania\n	Tuesday January 9\, 12-1pm\n	Zoom Link: https://mcgi
 ll.zoom.us/j/86855481591\n	In Person: 550 Sherbrooke\, Room 189\n	\n	Abstract
 : Machine learning traditionally does not get at causality and causality r
 esearch traditionally treats machine learning as a dangerous set of highly
  biased estimators. In my talk I will talk about our lab’s efforts to use 
 machine learning as a component of more traditional quasi-experimental tec
 hniques. I will also discuss meta-learning approaches to causal inference\
 , approaches where the estimators themselves are learned. I will lament th
 e relative lack of interactions between the various subfields of the causa
 l inference space.\n
DTSTART:20230109T170000Z
DTEND:20230109T180000Z
SUMMARY:QLS Seminar Series - Konrad Kording
URL:/qls/channels/event/qls-seminar-series-konrad-kord
 ing-353228
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