10 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Transforming Conditional Density Estimation Into a Single Nonparametric Regression Task
Alexander G. Reisach, Olivier Collier, Alex Luedtke +1
We propose a way of transforming the problem of conditional density estimation into a single nonparametric regression task via the introduction of auxiliary samples. This allows le…
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.…
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…