25 citations · 27 across the 4 of their papers we have counts for
5 papers
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
Michel Besserve, Naji Shajarisales, Dominik Janzing +1
Distinguishing between cause and effect using time series observational data is a major challenge in many scientific fields. A new perspective has been provided based on the princi…
Learning from Positive and Unlabeled Data by Identifying the Annotation Process
Naji Shajarisales, Peter Spirtes, Kun Zhang
In binary classification, Learning from Positive and Unlabeled data (LePU) is semi-supervised learning but with labeled elements from only one class. Most of the research on LePU r…
A central limit like theorem for Fourier sums
Dominik Janzing, Naji Shajarisales, Michel Besserve
We consider the probability distributions of values in the complex plane attained by Fourier sums of the form \sum_{j=1}^n a_j exp(-2πi j nu) /sqrt{n} when the frequency nu is draw…
Group invariance principles for causal generative models
Michel Besserve, Naji Shajarisales, Bernhard Schölkopf +1
The postulate of independence of cause and mechanism (ICM) has recently led to several new causal discovery algorithms. The interpretation of independence and the way it is utilize…
Telling cause from effect in deterministic linear dynamical systems
Naji Shajarisales, Dominik Janzing, Bernhard Shoelkopf +1
Inferring a cause from its effect using observed time series data is a major challenge in natural and social sciences. Assuming the effect is generated by the cause trough a linear…