Emily Diana

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Causal Inference

Differentially Private

Filtering Process

Top Venues

Publications

Emily Diana, Alexander Williams Tolbert, Kavya Ravichandran, Avrim Blum
Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions. CoRR (2024)
Siqi Deng, Emily Diana, Michael Kearns, Aaron Roth
Balanced Filtering via Disclosure-Controlled Proxies. FORC (2024)
Audrey Chang, Emily Diana, Alexander Williams Tolbert
Reconciling Heterogeneous Effects in Causal Inference. CoRR (2024)
Alexander Williams Tolbert, Emily Diana
Correcting Underrepresentation and Intersectional Bias for Fair Classification. CoRR (2023)
Siqi Deng, Emily Diana, Michael Kearns, Aaron Roth
Balanced Filtering via Non-Disclosive Proxies. CoRR (2023)
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
Multiaccurate Proxies for Downstream Fairness. FAccT (2022)
Emily Diana, Mingzi Niu, Georgy Noarov
SIGecom winter meeting 2022 highlights. SIGecom Exch. 20 (1) (2022)
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)
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)
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth
Minimax Group Fairness: Algorithms and Experiments. AIES (2021)
Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
Lexicographically Fair Learning: Algorithms and Generalization. CoRR (2021)
Emily Diana, Michael Kearns, Seth Neel, Aaron Roth
Optimal, truthful, and private securities lending. ICAIF (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, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth
Convergent Algorithms for (Relaxed) Minimax Fairness. 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)
Emily Diana, Michael J. Kearns, Seth Neel, Aaron Roth
Optimal, Truthful, and Private Securities Lending. CoRR (2019)