10 citations · 31 across the 6 of their papers we have counts for
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stat.ML2023★ 1 cited
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Alexander G. Reisach, Myriam Tami, Christof Seiler +2
Additive Noise Models (ANMs) are a common model class for causal discovery from observational data and are often used to generate synthetic data for causal discovery benchmarking.…
stat.ML2021★ 10 cited
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
Simulated DAG models may exhibit properties that, perhaps inadvertently, render their structure identifiable and unexpectedly affect structure learning algorithms. Here, we show th…