2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Achieving Counterfactual Fairness for Causal Bandit
Wen Huang, Lu Zhang, Xintao Wu
In online recommendation, customers arrive in a sequential and stochastic manner from an underlying distribution and the online decision model recommends a chosen item for each arr…
cs.LG2020
Achieving User-Side Fairness in Contextual Bandits
Wen Huang, Kevin Labille, Xintao Wu +2
Personalized recommendation based on multi-arm bandit (MAB) algorithms has shown to lead to high utility and efficiency as it can dynamically adapt the recommendation strategy base…
cs.CY2019
Fairness through Equality of Effort
Wen Huang, Yongkai Wu, Lu Zhang +1
Fair machine learning is receiving an increasing attention in machine learning fields. Researchers in fair learning have developed correlation or association-based measures such as…