2 papers
cs.LG2026
Investigating the Histogram Loss in Regression
Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes +2
It is becoming increasingly common in regression to train neural networks that model the entire distribution even if only the mean is required for prediction. This additional model…
cs.LG2026
Measure-to-measure Regression with Transformers
Matthew Vandergrift, Martha White, Yury Polyanskiy +2
Many learning problems require predicting how populations evolve under an unknown transformation. A natural representation for such populations is a probability measure, with point…