Before revision:  We explain how our proposed technique can be applied even in a high-dimensional setting , by employing locally-refined sparse grids  to weaken the curse of dimensionality.
After revision:  We explain how our proposed technique can be applied even in a high-dimensional setting , by employing locally-refined sparse grids in parameter space to weaken the curse of dimensionality.