Optimal, truthful, and private securities lending. - Emily Diana; Michael Kearns; Seth Neel; Aaron Roth 001 (ICAIF, 2020)

Differentially Private Call Auctions and Market Impact. - Emily Diana; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2020)

Convergent Algorithms for (Relaxed) Minimax Fairness. - Emily Diana; Wesley Gill; Michael Kearns; Krishnaram Kenthapadi; Aaron Roth 001 (CoRR, 2020)

Minimax Group Fairness: Algorithms and Experiments. - Emily Diana; Wesley Gill; Michael Kearns; Krishnaram Kenthapadi; Aaron Roth 001 (AIES, 2021)

Lexicographically Fair Learning: Algorithms and Generalization. - Emily Diana; Wesley Gill; Ira Globus-Harris; Michael Kearns; Aaron Roth 001; Saeed Sharifi-Malvajerdi (FORC, 2021)

Algorithms and Learning for Fair Portfolio Design. - Emily Diana; Travis Dick; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Zachary Schutzman; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2021)

Multiaccurate Proxies for Downstream Fairness. - Emily Diana; Wesley Gill; Michael Kearns; Krishnaram Kenthapadi; Aaron Roth 001; Saeed Sharifi-Malvajerdi (FAccT, 2022)

SIGecom winter meeting 2022 highlights. - Emily Diana; Mingzi Niu; Georgy Noarov (SIGecom Exch., 2022)

Correcting Underrepresentation and Intersectional Bias for Fair Classification. - Alexander Williams Tolbert; Emily Diana (CoRR, 2023)

Balanced Filtering via Non-Disclosive Proxies. - Siqi Deng; Emily Diana; Michael Kearns; Aaron Roth 001 (CoRR, 2023)

Balanced Filtering via Disclosure-Controlled Proxies. - Siqi Deng; Emily Diana; Michael Kearns; Aaron Roth 001 (FORC, 2024)

Reconciling Heterogeneous Effects in Causal Inference. - Audrey Chang; Emily Diana; Alexander Williams Tolbert (CoRR, 2024)

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions. - Emily Diana; Alexander Williams Tolbert; Kavya Ravichandran; Avrim Blum (CoRR, 2024)

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models. - Zhengyang Shan; Emily Diana; Jiawei Zhou (ACL (1), 2025)

Reconciling Predictive Multiplicity in Practice. - Tina Behzad; Sílvia Casacuberta; Emily Ruth Diana; Alexander Williams Tolbert (FAccT, 2025)

Pessimism Traps and Algorithmic Interventions. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Tolbert (FORC, 2025)

Minimax Group Fairness in Strategic Classification. - Emily Diana; Saeed Sharifi-Malvajerdi; Ali Vakilian (SaTML, 2025)

A Theoretical Model for Grit in Pursuing Ambitious Ends. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Williams Tolbert (CoRR, 2025)

BiasConnect: Investigating Bias Interactions in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew A. Turk (CoRR, 2025)

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew Turk 001 (CoRR, 2025)