most citedDomain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

84 citations · 90 across the 2 of their papers we have counts for

collaborators

2 papers

math.ST2018★ 6 cited

Algebraic Equivalence of Linear Structural Equation Models

Thijs van Ommen, Joris M. Mooij

Despite their popularity, many questions about the algebraic constraints imposed by linear structural equation models remain open problems. For causal discovery, two of these probl…

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…