10 citations · 18 across the 2 of their papers we have counts for
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cs.LG2021★ 10 cited
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan, Daochen Zha, Ninghao Liu +1
Machine learning models are becoming pervasive in high-stakes applications. Despite their clear benefits in terms of performance, the models could show discrimination against minor…
cs.LG2020★ 8 cited
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
Daochen Zha, Kwei-Herng Lai, Mingyang Wan +1
High false-positive rate is a long-standing challenge for anomaly detection algorithms, especially in high-stake applications. To identify the true anomalies, in practice, analysts…