On the Epistemic Limits of Personalized Prediction. - Lucas Monteiro Paes; Carol Xuan Long; Berk Ustun; Flávio P. Calmon (NeurIPS, 2022)

Individual Arbitrariness and Group Fairness. - Carol Xuan Long; Hsiang Hsu; Wael Alghamdi; Flávio P. Calmon (NeurIPS, 2023)

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. - Carol Xuan Long; Hsiang Hsu; Wael Alghamdi; Flávio P. Calmon (CoRR, 2023)

Multi-Group Proportional Representation in Retrieval. - Alex Oesterling; Claudio Mayrink Verdun; Alexander Glynn; Carol Xuan Long; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (NeurIPS, 2024)

Predictive Churn with the Set of Good Models. - Jamelle Watson-Daniels; Flávio du Pin Calmon; Alexander D'Amour; Carol Xuan Long; David C. Parkes; Berk Ustun (CoRR, 2024)

Multi-Group Proportional Representation. - Alex Oesterling; Claudio Mayrink Verdun; Carol Xuan Long; Alexander Glynn; Lucas Monteiro Paes; Sajani Vithana; Martina Cardone; Flávio P. Calmon (CoRR, 2024)

Kernel Multiaccuracy. - Carol Xuan Long; Wael Alghamdi; Alexander Glynn; Yixuan Wu; Flávio P. Calmon (FORC, 2025)

Optimized Couplings for Watermarking Large Language Models. - Dor Tsur; Carol Xuan Long; Claudio Mayrink Verdun; Hsiang Hsu; Haim H. Permuter; Flávio P. Calmon (CoRR, 2025)

HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions. - Dor Tsur; Carol Xuan Long; Claudio Mayrink Verdun; Hsiang Hsu; Chen-Fu Chen; Haim H. Permuter; Sajani Vithana; Flávio P. Calmon (CoRR, 2025)