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Representer points: signed training-feature contributions to network logits

Derives a representer decomposition of pre-activation outputs into signed training-feature similarities at stationary points with positively weighted L2 regularization of the final linear layer.

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Derives a representer decomposition of pre-activation outputs into signed training-feature similarities at stationary points with positively weighted L2 regularization of the final linear layer.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The theorem is conditional on its final-layer regularization and stationarity assumptions, not arbitrary unregularized checkpoints. Signed logit contributions are not identical to loss influence or deletion counterfactuals. First two authors explicitly equal; proof source read, not independently certified.

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People and systems

Chih-Kuan Yeh; Joon Sik Kim; Ian E. H. Yen; Pradeep Ravikumar

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Representer points: signed training-feature contributions to network logits

Derives a representer decomposition of pre-activation outputs into signed training-feature similarities at stationary points with positively weighted L2 regularization of the final linear layer.

Scientific scope

The theorem is conditional on its final-layer regularization and stationarity assumptions, not arbitrary unregularized checkpoints. Signed logit contributions are not identical to loss influence or deletion counterfactuals. First two authors explicitly equal; proof source read, not independently certified.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Chih-Kuan Yeh; Joon Sik Kim; Ian E. H. Yen; Pradeep Ravikumar

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources