Past Member
Rong Ge
Funding provided by Eric and Wendy Schmidt
From
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Rong Ge is broadly interested in theoretical machine learning. His research has focused on designing new algorithms with provable guarantees for problems like topic modeling, matrix completion, and deep neural networks. At IAS, he is interested in working on problems related to optimization and generalization of neural networks.
Dates at IAS
Member
School of Mathematics
–
Fall
Degrees
Princeton University
Ph.D.
2013
Honors
2019
Sloan Fellowship
2019
NSF CAREER Award
Appointments
Duke University
2015–2019
Assistant Professor
Microsoft Research New England
2013–2015
Post-doc