arXiv Machine Learning By Keke Huang, Yik Yu Ng, Laks V. S. Lakshmanan, Xiaokui Xiao

Parameterized Fair Resource Allocation under Diversity Constraints

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arXiv:2607. 26485v1 Announce Type: cross Abstract: Resource allocation across multiple agent groups arises in many applications including e-commerce recommendation systems, housing assignment, and course allocation, and is commonly formulated as an optimization problem with diversity constraints to ensure group fairness.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning
Jun 18

Fair Online Resource Allocation

arXiv:2606. 18679v1 Announce Type: cross Abstract: We study the problem of fair online resource allocation, motivated by applications such as refugee resettlement and airline scheduling, where agents arrive sequentially and must be assigned to facilities with limited capacities.

By Christopher En, Yuri Faenza, Andrea Lodi, Gonzalo Mu\~noz