2020
Variable Skipping for Autoregressive Range Density Estimation
ICML 2020poster
Deep autoregressive models compute point likelihood estimates of individual data points. However, many applications (i.e., database cardinality estimation), require estimating range densities, a capability that is under-explored by current neural density estimation literature. In these applications,…