Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness J Finocchiaro, R Maio, F Monachou, GK Patro, M Raghavan, AA Stoica, ... Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 74 | 2021 |
Edge conflicts do not determine geodesics in the associahedron S Cleary, R Maio SIAM Journal on Discrete Mathematics 32 (2), 1003-1015, 2018 | 7 | 2018 |
Incentives Needed for Low-Cost Fair Lateral Data Reuse R Maio, A Chaintreau Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference, 71-82, 2020 | 2 | 2020 |
An efficient sampling algorithm for difficult tree pairs S Cleary, R Maio arXiv preprint arXiv:2001.06422, 2020 | 2 | 2020 |
Counting difficult tree pairs with respect to the rotation distance problem S Cleary, R Maio arXiv preprint arXiv:2001.06407, 2020 | 2 | 2020 |
Estimating the number of difficult tree pairs with respect to the rotation distance problem S Cleary, R Maio Journal of Combinatorial Mathematics and Combinatorial Computing, 2020 | 2 | 2020 |
Fairness and Discrimination in Mechanism Design and Machine Learning J Finocchiaro, R Maio, F Monachou, GK Patro, M Raghavan, AA Stoica, ... | 2* | |
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI AG Yasar, A Chong, E Dong, TK Gilbert, S Hladikova, R Maio, C Mougan, ... arXiv preprint arXiv:2308.02033, 2023 | 1* | 2023 |
Machine-Learning Fairness in Data Markets: Challenges and Opportunities R Maio Columbia University, 2024 | | 2024 |
Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp R Amos, R Maio, P Mittal arXiv preprint arXiv:2202.09005, 2022 | | 2022 |