Yet in practice, we will not be able to find the true p θ (model misspecification) nor exactly compute the marginals of p θ (computational intractability).
this paper proposes a training procedure that compensates for the system's approximations, adjusting θ to reduce the actual loss of h θ (x) as measured at training time.