3 papers
cs.LG2017
Learning User Preferences to Incentivize Exploration in the Sharing Economy
Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek +1
We study platforms in the sharing economy and discuss the need for incentivizing users to explore options that otherwise would not be chosen. For instance, rental platforms such as…
stat.ME2017
Grabit: Gradient Tree-Boosted Tobit Models for Default Prediction
Fabio Sigrist, Christoph Hirnschall
A frequent problem in binary classification is class imbalance between a minority and a majority class such as defaults and non-defaults in default prediction. In this article, we…
cs.LG2017
Coordinated Online Learning With Applications to Learning User Preferences
Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek +1
We study an online multi-task learning setting, in which instances of related tasks arrive sequentially, and are handled by task-specific online learners. We consider an algorithmi…