7 citations · 7 across the 2 of their papers we have counts for
4 papers
Formally Justifying MDL-based Inference of Cause and Effect
Alexander Marx, Jilles Vreeken
The algorithmic independence of conditionals, which postulates that the causal mechanism is algorithmically independent of the cause, has recently inspired many highly successful a…
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
Alexander Marx, Lincen Yang, Matthijs van Leeuwen
Estimating conditional mutual information (CMI) is an essential yet challenging step in many machine learning and data mining tasks. Estimating CMI from data that contains both dis…
Testing Conditional Independence on Discrete Data using Stochastic Complexity
Alexander Marx, Jilles Vreeken
Testing for conditional independence is a core aspect of constraint-based causal discovery. Although commonly used tests are perfect in theory, they often fail to reject independen…
Causal Discovery by Telling Apart Parents and Children
Alexander Marx, Jilles Vreeken
We consider the problem of inferring the directed, causal graph from observational data, assuming no hidden confounders. We take an information theoretic approach, and make three m…