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CATEGORIES:Rouse Ball Lectures
SUMMARY:Causality-Inspired Machine Learning: A Path to Mor
 e Robust AI Systems -  Prof Peter Bühlmann (ETH Zu
 rich)
DTSTART;TZID=Europe/London:20250508T120000
DTEND;TZID=Europe/London:20250508T130000
UID:TALK212089AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/212089
DESCRIPTION:\nThe pursuit of reliable and robust machine learn
 ing has become a central focus\, with statistics a
 nd data science playing pivotal roles in its advan
 cement. We explore connections between distributio
 nal robustness and causality\, providing methodolo
 gical insights to enhance the reliability of AI sy
 stems. We examine the broader implications of thes
 e concepts through a case study in digital health 
 and emphasize the crucial need for validating mach
 ine learning and AI algorithms in real-world appli
 cations. 
LOCATION:Cockcroft Lecture Theatre\, New Museums Site
CONTACT:HoD Secretary\, DPMMS
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