Follow
Roland Maio
Roland Maio
PhD Student at Columbia University
Verified email at columbia.edu
Title
Cited by
Cited by
Year
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
742021
Edge conflicts do not determine geodesics in the associahedron
S Cleary, R Maio
SIAM Journal on Discrete Mathematics 32 (2), 1003-1015, 2018
72018
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
22020
An efficient sampling algorithm for difficult tree pairs
S Cleary, R Maio
arXiv preprint arXiv:2001.06422, 2020
22020
Counting difficult tree pairs with respect to the rotation distance problem
S Cleary, R Maio
arXiv preprint arXiv:2001.06407, 2020
22020
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
22020
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
The system can't perform the operation now. Try again later.
Articles 1–10