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10/01/2022
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
Multi-armed bandit (MAB) algorithms are efficient approaches to reduce t...
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08/22/2020
Fatigue-aware Bandits for Dependent Click Models
As recommender systems send a massive amount of content to keep users en...
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04/29/2019
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
Motivated by the phenomenon that companies introduce new products to kee...
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03/19/2019