About Me

I am a PhD student in the Computer and Information Science Department at University of Pennsylvania. I am advised by Michael Kearns.

I study the interactions between machine learning and a variety of contexts, ranging from crowdsourcing to game theory to fairness.

Recent Manuscripts

Fair Learning in Markovian Environments with Matthew Joseph, Michael Kearns, Jamie Morgenstern and Aaron Roth.

Strategic Network Formation with Attack and Immunization with Sanjeev Goyal, Michael Kearns, Sanjeev Khanna and Jamie Morgenstern - WINE 2016.

Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs with Ryan Rogers, Aaron Roth and Steven Wu - NIPS 2016.




Shahin Jabbari [DBLP]
PhD Student
Computer and Information Science
University of Pennsylvania