Hence, a possible third direction is to instead approximate the objectives to the un-normalized model distributions.
1 In the following, we will derive an objective function from a divergence D with the data distribution as first argument, and the second being the distribution of the parametric model: A large number of divergence measures has been introduced for a variety of applications (Basseville, 2013).