Variance-stabilizing transformations are commonly exploited in order to make non-homoskedastic data easily tractable by standard methods. However, for the most common families of distributions (e.g., binomial, Poisson, etc.) exact stabilization is not possible and even achieving some approximate stabilization turns out to be rather challenging. We approach the variance stabilization problem as ...