2 code implementations • 9 Mar 2023 • Aengus Lynch, Gbètondji J-S Dovonon, Jean Kaddour, Ricardo Silva
The problem of spurious correlations (SCs) arises when a classifier relies on non-predictive features that happen to be correlated with the labels in the training data.
no code implementations • 30 Jun 2022 • Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva
Causal Machine Learning (CausalML) is an umbrella term for machine learning methods that formalize the data-generation process as a structural causal model (SCM).