Parameterized Fair Resource Allocation under Diversity Constraints
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. Existing approaches typically enforce these constraints as hard conditions, which overly restrict the feasible solution space and often lead to suboptimal allocations. In this paper, we propose PRA, a parameterized framework for fair resource allocation under diversity constraints. Inspired by the use of risk-aversion parameters in economic models, PRA introduces a set of controllable inequality-aversion parameters to sof...
| Authors | Keke Huang, Yik Yu Ng, Laks V. S. Lakshmanan et al. |
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| Primary category | cs.SI |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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