On Semi-Supervised Estimation of Distributions
On Semi-Supervised Estimation of Distributions
We study the problem of estimating the joint probability mass function (pmf) over two random variables. In particular, the estimation is based on the observation of m samples containing both variables and n samples missing one fixed variable. We adopt the minimax framework with $l_p^p$ loss functions, and we show …