Email: saeedsh@wharton.upenn.edu

Saeed Sharifi-Malvajerdi

I am a fifth year doctoral student, co-advised by Michael Kearns and Aaron Roth, in the Statistics department of The Wharton School, University of Pennsylvania. I hold Bachelor degrees in Electrical Engineering and Mathematics, both from Sharif University of Technology.

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

    • Statistical Learning Theory

    • Ethics in ML: Privacy, Fairness, and Data Deletion

    • Adaptive Data Analysis

    • Algorithmic Game Theory

Publications (alphabetical authorship for CS papers):

  • Adaptive Machine Unlearning

with Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, and Chris Waites. Preprint 2021 [arXiv]

  • Lexicographically Fair Learning: Algorithms and Generalization

with Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, and Aaron Roth. FORC 2021 [arXiv]

  • Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

with Seth Neel and Aaron Roth. ALT 2021 [arXiv]

  • Algorithms and Learning for Fair Portfolio Design

with Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, and Juba Ziani. EC 2021 [arXiv]

  • Differentially Private Call Auctions and Market Impact

with Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, and Juba Ziani. EC 2020 [arXiv]

  • A New Analysis of Differential Privacy's Generalization Guarantees

with Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, and Moshe Shenfeld. ITCS 2020 (Talk). [arXiv]

  • Average Individual Fairness: Algorithms, Generalization and Experiments

with Michael Kearns, and Aaron Roth. NeurIPS 2019 (Oral Presentation: 36/6743 submissions) [arXiv][Aaron's talk at Simons][Slides][Github Repo].

  • Differentially Private Fair Learning

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