Online platforms offer time-locked sales campaigns, whereby third-party vendors sell their products at a fixed price for a pre-specified length of time. To alleviate customers' uncertainty about a product's value, platforms often display to upcoming customers some information about previous...

Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns...

We present a framework for active inference, the selective acquisition of labels for cases at prediction time in lieu of using the estimated labels of a predictive model. The framework generalizes prior work on prediction time label acquisition. We develop techniques within this active inference...