2 citations · 2 across the 2 of their papers we have counts for
3 papers
math.LO2023
Comparing disorder and adaptability in stochasticity
Liling Ko, Justin Miller
In the literature, there are various notions of stochasticity which measure how well an algorithmically random set satisfies the law of large numbers. Such notions can be categoriz…
math.LO2020
Intermediate Intrinsic Density and Randomness
Justin Miller
Given any 1-random set and any , we construct a set of intrinsic density which is computable from . For almost all , this set will be the first kno…
math.LO2019★ 2 cited
Intrinsic Smallness
Justin Miller
Recent work in computability theory has focused on various notions of asymptotic computability, which capture the idea of a set being "almost computable." One potentially upsetting…