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Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual.

, , , , , and . AAAI, page 5624-5632. AAAI Press, (2023)

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Fair Labeled Clustering., , , and . KDD, page 327-335. ACM, (2022)Probabilistic Fair Clustering., , , and . NeurIPS, (2020)A New Notion of Individually Fair Clustering: α-Equitable k-Center., , , , and . CoRR, (2021)Implications of Distance over Redistricting Maps: Central and Outlier Maps., , , and . AAAI, page 9679-9687. AAAI Press, (2024)Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks., , and . CVPR, page 4178-4186. IEEE Computer Society, (2017)A New Notion of Individually Fair Clustering: α-Equitable k-Center., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6387-6408. PMLR, (2022)Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual., , , , and . AAMAS, page 1583-1585. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Fair Clustering Under a Bounded Cost., , , and . NeurIPS, page 14345-14357. (2021)On Algorithms, Fairness, and Incentives.. University of Maryland, College Park, MD, USA, (2023)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/30816).How to Strategize Human Content Creation in the Era of GenAI?, , , , and . CoRR, (2024)