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Achieving Long-Term Fairness in Sequential Decision Making. (arXiv:2204.01819v1 [cs.LG])
April 6, 2022, 1:11 a.m. | Yaowei Hu, Lu Zhang
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose a framework for achieving long-term fair sequential
decision making. By conducting both the hard and soft interventions, we propose
to take path-specific effects on the time-lagged causal graph as a quantitative
tool for measuring long-term fairness. 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. We show that such an optimization problem can be converted …
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