2 papers
cs.GT2024
Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty
Elita Lobo, Justin Payan, Cyrus Cousins +1
We study fair allocation of constrained resources, where a market designer optimizes overall welfare while maintaining group fairness. In many large-scale settings, utilities are n…
cs.CL2021
Towards Realistic Single-Task Continuous Learning Research for NER
Justin Payan, Yuval Merhav, He Xie +4
There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications. Meanwhile, there is still a lack o…