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cs.LG2026
Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits
Vladimir Braverman, Chen Wang, Liudeng Wang +1
Motivated by the recency effect in online learning, we study algorithms for single-pass *sliding-window streaming multi-armed bandits (MABs)* in this paper. In this setting, we are…
stat.ML2026
Online Learning with Limited Information in the Sliding Window Model
Vladimir Braverman, Sumegha Garg, Chen Wang +2
Motivated by recent work on the experts problem in the streaming model, we consider the experts problem in the sliding window model. The sliding window model is a well-studied mode…