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20152021
most citedTrivial measures are not so trivial

5 citations · 5 across the 6 of their papers we have counts for

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8 papers · 1 filter

math.LO2021

Randomness extraction in computability theory

Douglas Cenzer, Christopher P. Porter

In this article, we study a notion of the extraction rate of Turing functionals that translate between notions of randomness with respect to different underlying probability measur…

math.LO2021

The intersection of algorithmically random closed sets and effective dimension

Adam Case, Christopher P. Porter

In this article, we study several aspects of the intersections of algorithmically random closed sets. First, we answer a question of Cenzer and Weber, showing that the operation of…

math.LO2020

Key developments in algorithmic randomness

Johanna N. Y. Franklin, Christopher P. Porter

The goal of this introductory survey is to present the major developments of algorithmic randomness with an eye toward its historical development. While two highly comprehensive bo…

math.LO2019

Effective Aspects of Bernoulli Randomness

Christopher P. Porter

In this paper, we study Bernoulli random sequences, i.e., sequences that are Martin-Löf random with respect to a Bernoulli measure for some , where we allow for th…

math.LO2018

On the interplay between effective notions of randomness and genericity

Laurent Bienvenu, Christopher P. Porter

In this paper, we study the power and limitations of computing effectively generic sequences using effectively random oracles. Previously, it was known that every 2-random sequence…

math.LO20155 cited

Trivial measures are not so trivial

Christopher P. Porter

Although algorithmic randomness with respect to various non-uniform computable measures is well-studied, little attention has been paid to algorithmic randomness with respect to co…