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Shipra Agrawal


My 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.  I am also interested in prediction markets and game theory.

I received my PhD from Stanford University in June 2011.  For more information about my background, please see my CV.

Contact Information

shipra at microsoft dot com

ashipra at gmail dot com

Recent activities

  • Program committee member for NIPS Workshop on Bayesian Optimization, BayesOpt 2014
  • Program committee member for WWW 2015.