AlgorithmicStabilityandGeneralizationofan UnsupervisedFeatureSelectionAlgorithm
–Neural Information Processing Systems
Algorithmic stability is a key characteristic of an algorithm regarding its sensitivity to perturbations of input samples. In this paper,we propose an innovativeunsupervised feature selection algorithm attaining this stability with provable guarantees.
Neural Information Processing Systems
Feb-10-2026, 11:22:30 GMT
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