Multi-Observation Regression

27 Feb 2018Rafael FrongilloNishant A. MehtaTom MorganBo Waggoner

Recent work introduced loss functions which measure the error of a prediction based on multiple simultaneous observations or outcomes. In this paper, we explore the theoretical and practical questions that arise when using such multi-observation losses for regression on data sets of $(x,y)$ pairs... (read more)

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