Counterfactual marginalisation: framework for evaluating robustness to nuisance variables
Read the original at arxiv.org→arXiv:2609.10778v1 Announce Type: new Abstract: Machine learning models can achieve strong test performance while relying on demographic or acquisition-related shortcuts. We propose counterfactual (CF)...
Original headline: "Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables"
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- Sep 11, 04:00 UTC arXiv cs.LG lead source Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables