Bo Waggoner

Multi-Observation Elicitation

2017 · arXiv (Cornell University)

We study loss functions that measure the accuracy of a prediction based on multiple data points simultaneously. To our knowledge, such loss functions have not been studied before in the area of property elicitation or …

An Embedding Framework for Consistent Polyhedral Surrogates

2019 · arXiv (Cornell University)

We formalize and study the natural approach of designing convex surrogate loss functions via embeddings, for problems such as classification, ranking, or structured prediction. In this approach, one embeds each of the finitely many predictions …