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Found 4 papers, 4 papers with code
Long-Term Fair Decision Making through Deep Generative Models
This paper studies long-term fair machine learning which aims to mitigate group disparity over the long term in sequential decision-making systems.
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
While significant advancements have been made in the field of fair machine learning, the majority of studies focus on scenarios where the decision model operates on a static population.
Achieving Long-Term Fairness in Sequential Decision Making
The problem of fair sequential decision making is then formulated as a constrained optimization problem with the utility as the objective and the long-term and short-term fairness as constraints.
Fair Multiple Decision Making Through Soft Interventions
Previous research in fair classification mostly focuses on a single decision model.
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