Mengdi Wang
Theoretical computer scientist / From Wikipedia, the free encyclopedia
Mengdi Wang is a theoretical computer scientist who is a professor at Princeton University. Her research considers the fundamental theory that underpins reinforcement and machine learning. She was named one of MIT Technology Review's 35 Under 35 in 2018.
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Quick Facts Alma mater, Institutions ...
Mengdi Wang | |
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Alma mater | Massachusetts Institute of Technology Tsinghua University |
Scientific career | |
Institutions | Princeton University |
Thesis | Stochastic methods for large-scale linear problems, variational inequalities, and convex optimization (2013) |
Doctoral advisor | Dimitri Bertsekas |
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