84 citations · 92 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 5 cited
Local Constraint-Based Causal Discovery under Selection Bias
Philip Versteeg, Cheng Zhang, Joris M. Mooij
We consider the problem of discovering causal relations from independence constraints selection bias in addition to confounding is present. While the seminal FCI algorithm is sound…
stat.ML2019★ 3 cited
Boosting Local Causal Discovery in High-Dimensional Expression Data
Philip Versteeg, Joris M. Mooij
We study the performance of Local Causal Discovery (LCD), a simple and efficient constraint-based method for causal discovery, in predicting causal effects in large-scale gene expr…
cs.LG2017★ 84 cited
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen +3
An important goal common to domain adaptation and causal inference is to make accurate predictions when the distributions for the source (or training) domain(s) and target (or test…