Hence, we turn to maximizing a lower bound of Objective J which is defined as: Let Θ denote all parameters of our model and To calculate the gradient, we have to enumerate all possible S i s for (T i , B i ), which is intractable.
we employ a Monte Carlo sampling method to approximate ∂L i ∂Θ .