109 citations · 144 across the 6 of their papers we have counts for
6 papers
Justifying Information-Geometric Causal Inference
Dominik Janzing, Bastian Steudel, Naji Shajarisales +1
Information Geometric Causal Inference (IGCI) is a new approach to distinguish between cause and effect for two variables. It is based on an independence assumption between input d…
Inferring deterministic causal relations
Povilas Daniusis, Dominik Janzing, Joris Mooij +4
We consider two variables that are related to each other by an invertible function. While it has previously been shown that the dependence structure of the noise can provide hints…
Information-theoretic inference of common ancestors
Bastian Steudel, Nihat Ay
A directed acyclic graph (DAG) partially represents the conditional independence structure among observations of a system if the local Markov condition holds, that is, if every var…
Causal Markov condition for submodular information measures
Bastian Steudel, Dominik Janzing, Bernhard Schoelkopf
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a caus…
Justifying additive-noise-model based causal discovery via algorithmic information theory
Dominik Janzing, Bastian Steudel
A recent method for causal discovery is in many cases able to infer whether X causes Y or Y causes X for just two observed variables X and Y. It is based on the observation that th…
A Quantum Broadcasting Problem in Classical Low Power Signal Processing
Dominik Janzing, Bastian Steudel
We pose a problem called ``broadcasting Holevo-information'': given an unknown state taken from an ensemble, the task is to generate a bipartite state transfering as much Holevo-in…