Shipra Agrawal

RESEARCHER
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Shipra Agrawal's research spans several areas of optimization and learning, including data-driven optimization under partial, uncertain or online inputs, and related concepts in learning, namely multi-armed bandits, online learning, and reinforcement learning.  She is also interested in prediction markets and game theory.

She received her PhD from Stanford University in June 2011.

Publications