ConceptHilbert-Schmidt Independence Criterion
HSIC
A kernel-based statistic for measuring the statistical independence of two random variables, commonly used to approximate independence constraints under finite samples.
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Oct 26
Exactly achieving population independence under finite samples is almost impossible; in practice, batch-level statistics (such as HSIC, MMD, or correlation penalties) are usually used for approximate constraints, and the paper's theoretical guarantees are also discussed within this approximate framework.
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