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Thompson Sampling for the MNL-Bandit., , , and . COLT, volume 65 of Proceedings of Machine Learning Research, page 76-78. PMLR, (2017)Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms., , , , , , , , , and 10 other author(s). CoRR, (2022)MNL-Bandit: A Dynamic Learning Approach to Assortment Selection., , , and . Operations Research, 67 (5): 1453-1485 (2019)Stochastic bandits for multi-platform budget optimization in online advertising., , , , and . WWW, page 2805-2817. ACM / IW3C2, (2021)Top K Ranking for Multi-Armed Bandit with Noisy Evaluations., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6242-6269. PMLR, (2022)A few good predictions: selective node labeling in a social network., , and . WSDM, page 353-362. ACM, (2014)The MNL-Bandit Problem: Theory and Applications.. Columbia University, USA, (2019)Robust and fair work allocation., , , , , , , , and . CoRR, (2022)Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit., , and . CoRR, (2020)Top K Ranking for Multi-Armed Bandit with Noisy Evaluations., , , and . CoRR, (2021)