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Scalable influence-function approximations for training-data explanations

Uses implicit Hessian-vector products and inverse-Hessian approximations to estimate how training-point reweighting or perturbations affect model predictions, with selected data-debugging experiments.

What is recorded here?

Uses implicit Hessian-vector products and inverse-Hessian approximations to estimate how training-point reweighting or perturbations affect model predictions, with selected data-debugging experiments.

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

Scientific scope

Inherits influence functions from robust statistics and second-order optimization. Formal local derivation needs differentiability and positive-definite Hessian; nonconvex/nonsmooth applications use approximations, not exact leave-one-out retraining. No universal reliability claim.

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People and systems

Pang Wei Koh; Percy Liang

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

Scalable influence-function approximations for training-data explanations

Uses implicit Hessian-vector products and inverse-Hessian approximations to estimate how training-point reweighting or perturbations affect model predictions, with selected data-debugging experiments.

Scientific scope

Inherits influence functions from robust statistics and second-order optimization. Formal local derivation needs differentiability and positive-definite Hessian; nonconvex/nonsmooth applications use approximations, not exact leave-one-out retraining. No universal reliability claim.

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

Pang Wei Koh; Percy Liang

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