109 citations · 115 across the 6 of their papers we have counts for
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cs.LG2026
Graph Dirichlet Energy for Fitting-Free Bivariate Causal Inference
Povilas Daniušis
We propose the Graph Dirichlet Energy Causal Inference (GDECI) criterion for distinguishing cause from effect in bivariate settings. For a candidate direction , we construc…
cs.LG2022★ 1 cited
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions
Povilas Daniušis, Shubham Juneja, Lukas Kuzma +1
In this paper, we focus on the problem of statistical dependence estimation using characteristic functions. We propose a statistical dependence measure, based on the maximum-norm o…
cs.LG2012★ 109 cited
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…