Tag: invariant
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LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes
LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes arXiv:2512.10053v1 Announce Type: new Abstract: Binary classification is one of the oldest, most prevalent, and studied problems in machine learning. However, the metrics used to evaluate model performance have received comparatively little attention. The area under the receiver operating characteristic curve…
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Bayesian Invariance Modeling of Multi-Environment Data
Bayesian Invariance Modeling of Multi-Environment Data arXiv:2506.22675v1 Announce Type: new Abstract: Invariant prediction [Peters et al., 2016] analyzes feature/outcome data from multiple environments to identify invariant features – those with a stable predictive relationship to the outcome. Such features support generalization to new environments and help reveal causal mechanisms. Previous methods have primarily tackled this…