GroupMeritocraticFairnessinLinearContextual Bandits
–Neural Information Processing Systems
We study the linear contextual bandit problem where an agent has to select one candidate from a pool and each candidate belongs to a sensitive group. In this setting,candidates' rewardsmaynotbedirectly comparable between groups,for example when the agent is an employer hiring candidates from different ethnic groups and some groups have a lower reward due to discriminatory bias and/or socialinjustice.
Neural Information Processing Systems
Feb-10-2026, 23:37:36 GMT