43 citations · 95 across the 17 of their papers we have counts for
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cs.LG2022
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu, Lu Zhang
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…
cs.LG2021★ 1 cited
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
Hongyao Tang, Jianye Hao, Guangyong Chen +6
Value function is the central notion of Reinforcement Learning (RL). Value estimation, especially with function approximation, can be challenging since it involves the stochasticit…
cs.LG2019★ 43 cited
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu, Lu Zhang, Xintao Wu +1
A recent trend of fair machine learning is to define fairness as causality-based notions which concern the causal connection between protected attributes and decisions. However, on…