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cs.LG2025
Full Swap Regret and Discretized Calibration
Maxwell Fishelson, Robert Kleinberg, Princewill Okoroafor +3
We study the problem of minimizing swap regret in structured normal-form games. Players have a very large (potentially infinite) number of pure actions, but each action has an embe…
cs.LG2023
Learning Thresholds with Latent Values and Censored Feedback
Jiahao Zhang, Tao Lin, Weiqiang Zheng +3
In this paper, we investigate a problem of actively learning threshold in latent space, where the unknown reward depends on the proposed threshold and latent value $v…