activity
20172025
most citedTelling Cause from Effect using MDL-based Local and Global Regression

36 citations · 74 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.IT2021

Estimating Mutual Information via Geodesic NN

Alexander Marx, Jonas Fischer

Estimating mutual information (MI) between two continuous random variables and allows to capture non-linear dependencies between them, non-parametrically. As such, MI estim…

cs.IT2021★ 4 cited

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…

cs.IT2021

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…