Jeff Dotson

Fully Heteroscedastic Count Regression with Deep Double Poisson Networks

Neural networks capable of accurate, input-conditional uncertainty representation are essential for real-world AI systems. Deep ensembles of Gaussian networks have proven highly effective for continuous regression due to their ability to flexibly represent aleatoric uncertainty via unrestricted hete…