Could you or someone elaborate on that? It’s not obvious to me how uncertainty around K implies that equality is a good thing… it feels like there is some (perhaps obviously correct) assumption here on the distribution…
If the amount of resources is below Kpopulation - e.g. K/2population, wouldn’t that model suggest allocation K to half the population and 0 to the other half? If it is significantly above - e.g. 2Kpopulation, what’s the…
One simple trick is doing a bijective transformation between your constrained input space and the unconstrained optimizer space. For example, if you have x>0 in your input space, you take the input from your optimizer…
Could you or someone elaborate on that? It’s not obvious to me how uncertainty around K implies that equality is a good thing… it feels like there is some (perhaps obviously correct) assumption here on the distribution…
If the amount of resources is below Kpopulation - e.g. K/2population, wouldn’t that model suggest allocation K to half the population and 0 to the other half? If it is significantly above - e.g. 2Kpopulation, what’s the…
One simple trick is doing a bijective transformation between your constrained input space and the unconstrained optimizer space. For example, if you have x>0 in your input space, you take the input from your optimizer…