11 citations · 23 across the 8 of their papers we have counts for
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cs.AI2023★ 11 cited
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen +9
Variances in ad impression outcomes across demographic groups are increasingly considered to be potentially indicative of algorithmic bias in personalized ads systems. While there…
cs.LG2023★ 3 cited
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang, Guanchu Wang, Fan Yang +4
Recent advancements in explainable machine learning provide effective and faithful solutions for interpreting model behaviors. However, many explanation methods encounter efficienc…