Saeed Sharifi-Malvajerdi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Differentially Private

Cognitive Radio

Inductive Learning Algorithms

Top Venues

Publications

Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Bayesian Strategic Classification. CoRR (2024)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. CoRR (2023)
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
Sequential Strategic Screening. ICML (2023)
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
Multiaccurate Proxies for Downstream Fairness. FAccT (2022)
Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. ALT (2021)
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
A new analysis of differential privacy's generalization guarantees (invited paper). STOC (2021)
Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
Lexicographically Fair Learning: Algorithms and Generalization. FORC (2021)
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
Multiaccurate Proxies for Downstream Fairness. CoRR (2021)
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
Adaptive Machine Unlearning. NeurIPS (2021)
Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
Algorithms and Learning for Fair Portfolio Design. EC (2021)
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
Adaptive Machine Unlearning. CoRR (2021)
Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
Lexicographically Fair Learning: Algorithms and Generalization. CoRR (2021)
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
A New Analysis of Differential Privacy's Generalization Guarantees. ITCS (2020)
Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. CoRR (2020)
Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
Differentially Private Call Auctions and Market Impact. EC (2020)
Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
Differentially Private Call Auctions and Market Impact. CoRR (2020)
Emily Diana, Travis Dick, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
Algorithms and Learning for Fair Portfolio Design. CoRR (2020)
Saeed Sharifi-Malvajerdi, Michael J. Kearns, Aaron Roth
Average Individual Fairness: Algorithms, Generalization and Experiments. NeurIPS (2019)
Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
Average Individual Fairness: Algorithms, Generalization and Experiments. CoRR (2019)
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
A New Analysis of Differential Privacy's Generalization Guarantees. CoRR (2019)
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
Differentially Private Fair Learning. ICML (2019)
Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
Differentially Private Fair Learning. CoRR (2018)
Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed, Jawad A. Salehi
Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks. UEMCON (2016)
Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed, Jawad A. Salehi
Analytical Studies of Fragmented-Spectrum Multi-Level OFDM-CDMA Technique in Cognitive Radio Networks. CoRR (2016)