Economics and Machine Learning: What can they teach each other?
A talk by Maximilian Kasy from the University of Oxford at the CAIML Colloquium.
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TU Wien, Campus Gußhaus
EI 8 Pötzl-Hörsaal -
1040 Vienna, Gußhausstraße 27-29
Stiege 1, Erdgeschoß, Raum CDEG08
On September 26th, Maximilian Kasy from the University of Oxford will be participating in the CAIML Colloquium. He will be delivering a talk on the topic of “Economics and Machine Learning: What can they teach each other?”
About Maximilian Kasy
Maximilian Kasy is Professor of Economics at the University of Oxford. He received his PhD at UC Berkeley and joined Oxford after appointments at UCLA and Harvard University. His current research interests focus on social foundations for statistics and machine learning, going beyond traditional single-agent decision theory. He also works on economic inequality, job guarantee programs, and basic income. He teaches a course on foundations of machine learning at the economics department at Oxford.
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