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 and fairness.

Recent Manuscripts [DBLP]

A Convex Framework for Fair Regression with R. Berk, H. Heidari, M. Joseph, M. Kearns, J. Morgenstern, S. Neel and A. Roth - Manuscript 2017 (preliminary version in FATML 2017).

Fairness in Criminal Justice Risk Assessments: The State of the Art with R. Berk, H. Heidari, M. Kearns and A. Roth - Manuscript 2017.

Fairness in Reinforcement Learning with M. Joseph, M. Kearns, J. Morgenstern and A. Roth - ICML 2017.




Shahin Jabbari
3401 Walnut St, Room 409B
Computer and Information Science
University of Pennsylvania
Philadelphia, PA, 19104