2 papers
stat.ME2025
Treatment effect extrapolation in the presence of unmeasured confounding
Stephanie Riley, Ricardo Silva, Matthew Sperrin
While randomised controlled trials (RCTs) are the gold standard for estimating causal treatment effects, their limited sample sizes and restrictive criteria make it difficult to ex…
cs.LG2025
A Shift in Perspective on Causality in Domain Generalization
Damian Machlanski, Stephanie Riley, Edward Moroshko +7
The promise that causal modelling can lead to robust AI generalization has been challenged in recent work on domain generalization (DG) benchmarks. We revisit the claims of the cau…