Email: saeedsh@wharton.upenn.edu

Saeed Sharifi-Malvajerdi

I am a third year doctoral student, co-advised by Michael Kearns and Aaron Roth, in the Statistics department of The Wharton School, University of Pennsylvania.

My research interests are in machine learning and algorithms, in particular:

    • Fairness in Machine Learning
    • Private Data Analysis
    • Algorithmic Game Theory
    • Statistical Learning Theory

Publications:

  • Average Individual Fairness: Algorithms, Generalization and Experiments

with Michael Kearns, and Aaron Roth. Preprint 2019 [arXiv][Aaron's talk]

  • Differentially Private Fair Learning

with Matthew Jagielski, Michael Kearns, Jieming Mao, Alina Oprea, Aaron Roth, and Jonathan Ullman. ICML 2019 [arXiv]

  • Malaria Parasite Clearance Rate Regression: an R Software Package for a Bayesian Hierarchical Regression Model

with Feiyu Zhu, Colin B. Fogarty, Michael P. Fay, Rick M. Fairhurst, Jennifer A. Flegg, Kasia Stepniewska, and Dylan S. Small. Malaria Journal 2019 18:4 [paper][package]

  • Analytical Studies of Fragmented-Spectrum Multi-Level OFDM-CDMA Technique in Cognitive Radio Networks

with Farhad Akhoundi, Omid Poursaeed, and Jawad A. Salehi. IEEE UEMCON 2016 [arXiv]