Fireside Chat with Stefanie Jegelka
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Опубликовано 5 ноября 2019, 17:52
Stefanie Jegelka is an X-Window Consortium Career Development Associate Professor in the Department of EECS at MIT. She is a member of the Computer Science and AI Lab (CSAIL), and an affiliate of IDSS and ORC at MIT. Before joining MIT, she was a postdoctoral researcher at UC Berkeley, and obtained her PhD from ETH Zurich and the Max Planck Institute for Intelligent Systems. Stefanie has received a Sloan Research Fellowship, an NSF CAREER Award, a DARPA Young Faculty Award, the German Pattern Recognition Award and a Best Paper Award at ICML.
Her research interests span multiple topics around the theory and practice of algorithmic machine learning, including discrete and continuous optimization, discrete probability, and learning with structured data.
See more at microsoft.com/en-us/research/v...
Her research interests span multiple topics around the theory and practice of algorithmic machine learning, including discrete and continuous optimization, discrete probability, and learning with structured data.
See more at microsoft.com/en-us/research/v...
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