Emily Diana

According to our database, Emily Diana authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Minimax Group Fairness in Strategic Classification.

Emily Diana, Saeed Sharifi-Malvajerdi, Ali Vakilian

CoRR, 2024

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions.

Emily Diana, Alexander Williams Tolbert, Kavya Ravichandran, Avrim Blum

CoRR, 2024

Reconciling Heterogeneous Effects in Causal Inference.

Audrey Chang, Emily Diana, Alexander Williams Tolbert

CoRR, 2024

Balanced Filtering via Disclosure-Controlled Proxies.

Siqi Deng, Emily Diana, Michael Kearns, Aaron Roth

Proceedings of the 5th Symposium on Foundations of Responsible Computing, 2024

2023

Balanced Filtering via Non-Disclosive Proxies.

Siqi Deng, Emily Diana, Michael Kearns, Aaron Roth

CoRR, 2023

Correcting Underrepresentation and Intersectional Bias for Fair Classification.

Alexander Williams Tolbert, Emily Diana

CoRR, 2023

2022

SIGecom winter meeting 2022 highlights.

Emily Diana, Mingzi Niu, Georgy Noarov

SIGecom Exch., July, 2022

Multiaccurate Proxies for Downstream Fairness.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Algorithms and Learning for Fair Portfolio Design.

Emily Diana, Travis Dick, Hadi Elzayn, Michael Kearns, Aaron Roth, Zachary Schutzman, Saeed Sharifi-Malvajerdi, Juba Ziani

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Lexicographically Fair Learning: Algorithms and Generalization.

Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Minimax Group Fairness: Algorithms and Experiments.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Convergent Algorithms for (Relaxed) Minimax Fairness.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth

CoRR, 2020

Differentially Private Call Auctions and Market Impact.

Emily Diana, Hadi Elzayn, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi, Juba Ziani

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Optimal, truthful, and private securities lending.

Emily Diana, Michael Kearns, Seth Neel, Aaron Roth

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020