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cs.LG2018
Multi-Observation Regression
Rafael Frongillo, Nishant A. Mehta, Tom Morgan +1
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…
cs.LG2017
Multi-Observation Elicitation
Sebastian Casalaina-Martin, Rafael Frongillo, Tom Morgan +1
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 i…