Sanghwan Kim

Beyond Second-Order Information: Paid Logistic Regression with Noisy Features

We consider online binary prediction with paid stochastic features, where the learner can spend resources to obtain better observations of the underlying features. This setting is motivated by applications such as medical testing, where additional cost can provide more precise measurements of patient's features for pre...