Before revision:  We show that the learning method quickly converges to the best sampling strategy for a given problem, and outperforms user-defined orderings and joint optimization, while also providing a higher sample diversity.
After revision:  We show that the learning method quickly converges to the best sampling strategy for a given problem, and outperforms user-defined orderings or fully joint optimization, while also providing a higher sample diversity.