Emily Diana

Orcid: 0000-0002-2386-9126

According to our database1, Emily Diana authored at least 20 papers between 2020 and 2025.

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Bibliography

2025
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models.
CoRR, May, 2025

BiasConnect: Investigating Bias Interactions in Text-to-Image Models.
CoRR, March, 2025

A Theoretical Model for Grit in Pursuing Ambitious Ends.
CoRR, March, 2025

Minimax Group Fairness in Strategic Classification.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

Pessimism Traps and Algorithmic Interventions.
Proceedings of the 6th Symposium on Foundations of Responsible Computing, 2025

Reconciling Predictive Multiplicity in Practice.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions.
CoRR, 2024

Reconciling Heterogeneous Effects in Causal Inference.
CoRR, 2024

Balanced Filtering via Disclosure-Controlled Proxies.
Proceedings of the 5th Symposium on Foundations of Responsible Computing, 2024

2023
Balanced Filtering via Non-Disclosive Proxies.
CoRR, 2023

Correcting Underrepresentation and Intersectional Bias for Fair Classification.
CoRR, 2023

2022
SIGecom winter meeting 2022 highlights.
SIGecom Exch., July, 2022

Multiaccurate Proxies for Downstream Fairness.
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.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Lexicographically Fair Learning: Algorithms and Generalization.
Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Minimax Group Fairness: Algorithms and Experiments.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Convergent Algorithms for (Relaxed) Minimax Fairness.
CoRR, 2020

Differentially Private Call Auctions and Market Impact.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Optimal, truthful, and private securities lending.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020


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