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stat.ML2023★ 1 cited
: Generating Realistic Production Data for Benchmarking Causal Discovery
Konstantin Göbler, Tobias Windisch, Mathias Drton +3
Algorithms for causal discovery have recently undergone rapid advances and increasingly draw on flexible nonparametric methods to process complex data. With these advances comes a…
stat.ML2022★ 1 cited
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
Konstantin Göbler, Anne Miloschewski, Mathias Drton +1
Graphical models are an important tool in exploring relationships between variables in complex, multivariate data. Methods for learning such graphical models are well developed in…