Saeed Sharifi-Malvajerdi

27 papers A* 8A 1B 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Minimax Group Fairness in Strategic Classification. SaTML Emily Diana, Saeed Sharifi-Malvajerdi, Ali Vakilian
2024	A*	`conf`	Bayesian Strategic Classification. NeurIPS Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	J	`jnl`	Bayesian Strategic Classification. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2024	J	`jnl`	Minimax Group Fairness in Strategic Classification. CoRR Emily Diana, Saeed Sharifi-Malvajerdi, Ali Vakilian
2023	A*	`conf`	Sequential Strategic Screening. ICML Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2023	J	`jnl`	Sequential Strategic Screening. CoRR Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
2022	—	`conf`	Multiaccurate Proxies for Downstream Fairness. FAccT Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
2021	A*	`conf`	A new analysis of differential privacy's generalization guarantees (invited paper). STOC Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2021	A*	`conf`	Adaptive Machine Unlearning. NeurIPS Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
2021	J	`jnl`	Adaptive Machine Unlearning. CoRR Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
2021	A*	`conf`	Algorithms and Learning for Fair Portfolio Design. EC Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
2021	B	`conf`	Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. ALT Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi
2021	—	`conf`	Lexicographically Fair Learning: Algorithms and Generalization. FORC Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
2021	J	`jnl`	Lexicographically Fair Learning: Algorithms and Generalization. CoRR Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
2021	J	`jnl`	Multiaccurate Proxies for Downstream Fairness. CoRR Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
2020	A	`conf`	A New Analysis of Differential Privacy's Generalization Guarantees. ITCS Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2020	J	`jnl`	Algorithms and Learning for Fair Portfolio Design. CoRR Emily Diana, Travis Dick, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani
2020	J	`jnl`	Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. CoRR Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi
2020	A*	`conf`	Differentially Private Call Auctions and Market Impact. EC Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
2020	J	`jnl`	Differentially Private Call Auctions and Market Impact. CoRR Emily Diana, Hadi Elzayn, Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani
2019	J	`jnl`	A New Analysis of Differential Privacy's Generalization Guarantees. CoRR Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2019	A*	`conf`	Average Individual Fairness: Algorithms, Generalization and Experiments. NeurIPS Saeed Sharifi-Malvajerdi, Michael J. Kearns, Aaron Roth
2019	J	`jnl`	Average Individual Fairness: Algorithms, Generalization and Experiments. CoRR Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
2019	A*	`conf`	Differentially Private Fair Learning. ICML Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2018	J	`jnl`	Differentially Private Fair Learning. CoRR Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman
2016	J	`jnl`	Analytical Studies of Fragmented-Spectrum Multi-Level OFDM-CDMA Technique in Cognitive Radio Networks. CoRR Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed, Jawad A. Salehi
2016	—	`conf`	Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks. UEMCON Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed, Jawad A. Salehi