Slide 65
Slide 65 text
参考文献3 (基本全てexposure-based)
動的学習/バンディット
Marco Morik, Ashudeep Singh, Jessica Hong, and Thorsten Joachims. 2020. Controlling Fairness and
Bias in Dynamic Learning-to-Rank. In Proceedings of the 43rd International ACM SIGIR Conference on
Research and Development in Information Retrieval. 429–438. (SIGIR2020, Best Paper Award)
Tao Yang and Qingyao Ai. 2021. Maximizing Marginal Fairness for Dynamic Learning to Rank. In
Proceedings of the Web Conference 2021. 137–145. (WWW2021)
Lequn Wang, Yiwei Bai, Wen Sun, and Thorsten Joachims. 2021. Fairness of Exposure in Stochastic
Bandits. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of
Machine Learning Research, Vol. 139). PMLR, 10686–10696. (ICML2021).