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 $g(\gamma ,v)$ depends on the proposed threshold $\gamma$ and latent value $v…