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cs.LG2025
Nearly Tight Bounds for Cross-Learning Contextual Bandits with Graphical Feedback
Ruiyuan Huang, Zengfeng Huang
Repeated first-price auctions are contextual decision problems with censored but reusable feedback: after submitting a bid, a learner can infer the outcomes of related bids and eva…
cs.LG2024
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
Ruiyuan Huang, Zengfeng Huang
Motivated by applications in online bidding and sleeping bandits, we examine the problem of contextual bandits with cross learning, where the learner observes the loss associated w…